Project Part 2

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This notebook contains the code samples found in Chapter 3, Section 5 of Deep Learning with R. Note that the original text features far more content, in particular further explanations and figures: in this notebook, you will only find source code and related comments.

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Data Exploration & Preparation

• Our goal in the second part of the assignment is to predict how good a (new) customer will pay back their credit card depts. In the data set application data from current customers (the first 18 attributes) together with their status (last attribute; target) are given.
  
• The attributes from the applications are

Attribute Name	Explanation	Remarks
ID	Client	number
CODE_GENDER	Gender
FLAG_OWN_CAR	Is there a car
FLAG_OWN_REALTY	Is there a property
CNT_CHILDREN	Number of children
AMT_INCOME_TOTAL	Annual income
NAME_INCOME_TYPE	Income category
NAME_EDUCATION_TYPE	Education level
NAME_FAMILY_STATUS	Marital status
NAME_HOUSING_TYPE	Way of living
DAYS_BIRTH	Birthday	Count backwards from current day (0), -1 means yesterday
DAYS_EMPLOYED	Start date of employment	Count backwards from current day(0). If positive, it means the person unemployed.
FLAG_MOBIL	Is there a mobile phone
FLAG_WORK_PHONE	Is there a work phone
FLAG_PHONE	Is there a phone
FLAG_EMAIL	Is there an email
OCCUPATION_TYPE	Occupation
CNT_FAM_MEMBERS	Family size

• The last attribute status contains the “pay-back behavior”, i.e. when did that customer pay back their depts:
  • 0: 1-29 days past due
  • 1: 30-59 days past due
  • 2: 60-89 days overdue
  • 3: 90-119 days overdue
  • 4: 120-149 days overdue
  • 5: Overdue or bad debts, write-offs for more than 150 days
  • C: paid off that month
  • X: No loan for the month Please note: We are learning only the pay-back behavior. The decision, i.e. if we accept a customer or not, is done in another process step – not here!

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Main task

• Design your network. Why did you use a feed-forward network, or a convolutional or recursive network – and why not?
  
• Use k-fold validation (with k = 10) to find the best hyperparameters for your network.
• Use the average of the accuracy to evaluate the performance of your trained network.
• Find a “reasonable” good model. Argue why that model is reasonable. If you are not able to find a reasonable good model, explain what you all did to find a good model and argue why you think that’s not a good model.
  
• Save your trained neural network with save_model_hdf5. Also save your data sets you used for training, testing and validation.

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Some hints

• Data preprocessing is easier here; no feature engineering is needed.
• You may be able to reuse parts of the exercises we used in our examples during lectures.
• All in- and output values need to be floating numbers (or integers in exceptions) in the range of [0,1].
• Please note that a neural network expects a R matrix or vector, not data frames. Transform your data (e.g. a data frame) into a matrix with data.matrix if needed.
  
• There are some models which show an accuracy higher than 90% (!) for training (and test) data – after learning more than 1000 epochs.

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Important notes

• Single-label, Multiclass classification problem on page 73 in Deep Learning with R
• Spaces must be removed in between ‘{r}' and '’, else an error with ‘’ will be produced
• K-Fold Validation on page 83ff and 94ff in Deep Learning with R
• Page 110, use Last-Layer activation softmax and loss function categorical_crossentropy
• Convolutional network ausgeschlossen, weil hauptsächlich Pattern recognition/image classification
• Recursive ausgeschlossen, weil hauptsächlich für TimeSeries-Vorhersagen verwendet, oder für Vorhersagen
• Feed-Forward, weil Classification-Task

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Data import

#install.packages("tidymodels")
#install.packages("themis")
library(here)
library(tidyverse)
library(ggplot2)
library(dplyr)
library(tensorflow)
library(tfdatasets)
library(tidymodels)
library(keras)
library(caret)
library(themis)
#LOAD DATA
setwd(getwd())
dataIn = "../Data/Dataset-part-2.csv"
data_in <- read.csv(dataIn,header = TRUE, sep =',')
#View(data_in)
data <- data.frame(data_in)
summary(data)

       ID          CODE_GENDER        FLAG_OWN_CAR       FLAG_OWN_REALTY     CNT_CHILDREN     AMT_INCOME_TOTAL 
 Min.   :5008804   Length:67614       Length:67614       Length:67614       Min.   : 0.0000   Min.   :  26100  
 1st Qu.:5465941   Class :character   Class :character   Class :character   1st Qu.: 0.0000   1st Qu.: 112500  
 Median :5954270   Mode  :character   Mode  :character   Mode  :character   Median : 0.0000   Median : 157500  
 Mean   :5908133                                                            Mean   : 0.4206   Mean   : 178867  
 3rd Qu.:6289080                                                            3rd Qu.: 1.0000   3rd Qu.: 225000  
 Max.   :7965248                                                            Max.   :19.0000   Max.   :6750000  
 NAME_INCOME_TYPE   NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE    DAYS_BIRTH     DAYS_EMPLOYED   
 Length:67614       Length:67614        Length:67614       Length:67614       Min.   :-25201   Min.   :-17531  
 Class :character   Class :character    Class :character   Class :character   1st Qu.:-19438   1st Qu.: -2886  
 Mode  :character   Mode  :character    Mode  :character   Mode  :character   Median :-15592   Median : -1305  
                                                                              Mean   :-15914   Mean   : 62022  
                                                                              3rd Qu.:-12347   3rd Qu.:  -321  
                                                                              Max.   : -7489   Max.   :365243  
   FLAG_MOBIL FLAG_WORK_PHONE    FLAG_PHONE       FLAG_EMAIL     OCCUPATION_TYPE    CNT_FAM_MEMBERS 
 Min.   :1    Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Length:67614       Min.   : 1.000  
 1st Qu.:1    1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   Class :character   1st Qu.: 2.000  
 Median :1    Median :0.0000   Median :0.0000   Median :0.0000   Mode  :character   Median : 2.000  
 Mean   :1    Mean   :0.2028   Mean   :0.2742   Mean   :0.1005                      Mean   : 2.174  
 3rd Qu.:1    3rd Qu.:0.0000   3rd Qu.:1.0000   3rd Qu.:0.0000                      3rd Qu.: 3.000  
 Max.   :1    Max.   :1.0000   Max.   :1.0000   Max.   :1.0000                      Max.   :20.000  
    status         
 Length:67614      
 Class :character  
 Mode  :character  
                   
                   
                   

plot(data$status)

##Cleanup

# Check for duplicates 
sum(duplicated(data))

[1] 0

# No duplicates

#Remove ID (irrelevant) and FLAG_MOBIL (always 1)
data <- data %>% select(-ID, -FLAG_MOBIL)
cols <- c("CODE_GENDER","FLAG_OWN_CAR","FLAG_OWN_REALTY","NAME_INCOME_TYPE","NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE","FLAG_WORK_PHONE","FLAG_PHONE","FLAG_EMAIL", "OCCUPATION_TYPE","status")
cols

 [1] "CODE_GENDER"         "FLAG_OWN_CAR"        "FLAG_OWN_REALTY"     "NAME_INCOME_TYPE"   
 [5] "NAME_EDUCATION_TYPE" "NAME_FAMILY_STATUS"  "NAME_HOUSING_TYPE"   "FLAG_WORK_PHONE"    
 [9] "FLAG_PHONE"          "FLAG_EMAIL"          "OCCUPATION_TYPE"     "status"             

data[cols] <- lapply(data[cols],factor)

# Replacing empty values with "Unknown"
levels(data$OCCUPATION_TYPE) <- c(levels(data$OCCUPATION_TYPE), "Unknown")
data$OCCUPATION_TYPE[is.na(data$OCCUPATION_TYPE)] <- "Unknown"

# Replacing C and X in Status
levels(data$status)[levels(data$status)=="C"] <- "6"
#data$status[data$status == "X"] <- 7
levels(data$status)[levels(data$status)=="X"] <- "7"
# #Convert factors into numericals
# data %<>% mutate_if(is.factor, as.numeric)

summary(data)

 CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY  CNT_CHILDREN     AMT_INCOME_TOTAL              NAME_INCOME_TYPE
 F:43924     N:43107      N:21090         Min.   : 0.0000   Min.   :  26100   Commercial associate:15640  
 M:23690     Y:24507      Y:46524         1st Qu.: 0.0000   1st Qu.: 112500   Pensioner           :11982  
                                          Median : 0.0000   Median : 157500   State servant       : 5044  
                                          Mean   : 0.4206   Mean   : 178867   Student             :    4  
                                          3rd Qu.: 1.0000   3rd Qu.: 225000   Working             :34944  
                                          Max.   :19.0000   Max.   :6750000                               
                                                                                                          
                    NAME_EDUCATION_TYPE            NAME_FAMILY_STATUS           NAME_HOUSING_TYPE
 Academic degree              :   38    Civil marriage      : 6016    Co-op apartment    :  227  
 Higher education             :16890    Married             :44906    House / apartment  :60307  
 Incomplete higher            : 2306    Separated           : 4125    Municipal apartment: 2303  
 Lower secondary              :  716    Single / not married: 9528    Office apartment   :  587  
 Secondary / secondary special:47664    Widow               : 3039    Rented apartment   : 1020  
                                                                      With parents       : 3170  
                                                                                                 
   DAYS_BIRTH     DAYS_EMPLOYED    FLAG_WORK_PHONE FLAG_PHONE FLAG_EMAIL    OCCUPATION_TYPE  CNT_FAM_MEMBERS 
 Min.   :-25201   Min.   :-17531   0:53904         0:49071    0:60819    Unknown    :20699   Min.   : 1.000  
 1st Qu.:-19438   1st Qu.: -2886   1:13710         1:18543    1: 6795    Laborers   :12425   1st Qu.: 2.000  
 Median :-15592   Median : -1305                                         Sales staff: 6899   Median : 2.000  
 Mean   :-15914   Mean   : 62022                                         Core staff : 6059   Mean   : 2.174  
 3rd Qu.:-12347   3rd Qu.:  -321                                         Managers   : 4950   3rd Qu.: 3.000  
 Max.   : -7489   Max.   :365243                                         Drivers    : 4427   Max.   :20.000  
                                                                         (Other)    :12155                   
     status     
 0      :52133  
 1      : 6491  
 7      : 5790  
 6      : 1805  
 2      :  712  
 5      :  374  
 (Other):  309  

Preprocessing

set.seed(1)
trainIndex <- initial_split(data, prop = 0.8, strata = status) 
trainingSet <- training(trainIndex)
testSet <- testing(trainIndex)
status_folds <- vfold_cv(trainingSet, v = 10, strata = status)
status_folds

#  10-fold cross-validation using stratification 

# Remove outliers (Out of 1.5x Interquartile Range) only on training set
# CNT_CHILDREN
boxplot(trainingSet$CNT_CHILDREN, horizontal=TRUE, main="CNT_CHILDREN")

Q1_Child <- quantile(trainingSet$CNT_CHILDREN, .25)
Q3_Child <- quantile(trainingSet$CNT_CHILDREN, .75)
IQR_Child <- IQR(trainingSet$CNT_CHILDREN)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$CNT_CHILDREN > (Q1_Child - 1.5*IQR_Child) & trainingSet$CNT_CHILDREN < (Q3_Child + 1.5*IQR_Child))
dim(trainingSet)

[1] 53330    17

# AMT_INCOME_TOTAL
boxplot(trainingSet$AMT_INCOME_TOTAL, horizontal=TRUE, main="AMT_INCOME_TOTAL")

Q1_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .25)
Q3_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .75)
IQR_AIT <- IQR(trainingSet$AMT_INCOME_TOTAL)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$AMT_INCOME_TOTAL > (Q1_AIT - 1.5*IQR_AIT) & trainingSet$AMT_INCOME_TOTAL < (Q3_AIT + 1.5*IQR_AIT))
dim(trainingSet)

[1] 51748    17

set.seed(5)
preprocRecipe <-
  recipe(status ~., data = data) %>%
  step_dummy(all_nominal(), -status,  one_hot = TRUE) %>%
  step_range(all_predictors(), -all_nominal(), min = 0, max = 1)%>%
 # step_downsample(status, over_ratio = 1) %>%
  step_smote(status, over_ratio = 1, skip=TRUE) %>%
 # step_smotenc(status, over_ratio = 1) %>%
 #step_adasyn(status, over_ratio = 1) %>%
 #step_nearmiss(status, over_ratio = 1) %>%
   
  step_dummy(status,  one_hot = TRUE)# %>%

In this step the above defined receipt is extracted using the prep() function, and then use the bake() function to transform a set of data based on that recipe.

# retain = TRUE and new_data = NULL ensures that pre-processed trainingSet is returned 
trainingSet_processed <- preprocRecipe %>%
  prep(trainingSet, retain = TRUE) %>%
  bake(new_data = NULL)
testSet_processed <- preprocRecipe %>%
  prep(testSet) %>%
  bake(new_data =testSet)

#summary(trainingSet_processed)

Check data

# summarize the class distribution
percentage <- 100-prop.table(table(data$status)) * 100
cbind(freq=table(data$status), percentage=percentage)

   freq percentage
0 52133   22.89615
1  6491   90.39992
2   712   98.94696
3   195   99.71160
4   114   99.83140
5   374   99.44686
6  1805   97.33043
7  5790   91.43668

class_weights <- list("0"=1,"1"=100)

# Turn data frame into data matrix
matrix_data <- trainingSet_processed %>% select(-tail(names(trainingSet_processed), 8))
matrix_targets <- trainingSet_processed %>% select(tail(names(trainingSet_processed), 8))

matrix_data_test  <- testSet_processed %>% select(-tail(names(testSet_processed), 8))
matrix_targets_test  <- testSet_processed %>% select(tail(names(testSet_processed), 8))

#Subset only 100 entries for testing
#matrix_data <- matrix_data[1:100, ]
#matrix_targets <- matrix_targets[1:100, ]

Build Model

#train_data <- matrix_data
train_data <- data.matrix(matrix_data)
test_data <- data.matrix(matrix_data_test)
train_targets <- data.matrix(matrix_targets)
test_targets <- data.matrix(matrix_targets_test)

# Function to build the model
build_model <- function() {
  model <- keras_model_sequential() %>%
    #layer_batch_normalization(axis = -1L, input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu", input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu") %>%
    #layer_dropout(0.3) %>%
    layer_dense(units = 128, activation = "relu") %>%
    layer_dense(units = 256, activation = "relu") %>%
    layer_dense(units = 128, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 8, activation = "softmax") 

  model %>% compile(
    optimizer = optimizer_sgd(learning_rate = 0.2),
    loss = "categorical_crossentropy",
    metrics = "categorical_accuracy"
  )

}

K-Fold-Validation

k <- 10
indices <- sample(1:nrow(train_data))
folds <- cut(indices, breaks = k, labels = FALSE)

num_epochs <- 1500
all_acc_histories <- NULL
for (i in 1:k) {
  cat("processing fold #", i, "\n")

  val_indices <- which(folds == i, arr.ind = TRUE)
  val_data <- train_data[val_indices,] #test_data#
  val_targets <- train_targets[val_indices,] #test_targets#
  
  partial_train_data <- train_data[-val_indices,]
  partial_train_targets <- train_targets[-val_indices,]
  model <- build_model()

  # Train the model (in silent mode, verbose=0)
  # Batch size https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network
  # One epoch = one forward pass and one backward pass of all the training examples
  # Batch size = the number of training examples in one forward/backward pass. The higher the batch size, the more memory space you'll need.
  # Number of iterations = number of passes, each pass using [batch size] number of examples. To be clear, one pass = one forward pass + one backward pass (we do not count the forward pass and backward pass as two different passes).
  # Batch size 32 much faster than 1, also the smaller the batch the less accurate the estimate of the gradient will be.
  history <- model %>% fit(
    partial_train_data, partial_train_targets,
    validation_data = list(val_data, val_targets),
    epochs = num_epochs, batch_size = 2048, verbose = 2#, class_weights = percentage
  )
  acc_history <- history$metrics$val_categorical_accuracy
  all_acc_histories <- rbind(all_acc_histories, acc_history)
}

processing fold # 1 

2022-12-31 13:27:39.811188: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-12-31 13:27:40.149971: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5484 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3060 Ti, pci bus id: 0000:2d:00.0, compute capability: 8.6

Epoch 1/1500

2022-12-31 13:27:41.390701: I tensorflow/stream_executor/cuda/cuda_blas.cc:1786] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.

141/141 - 2s - loss: 1.9346 - categorical_accuracy: 0.2706 - val_loss: 1.8000 - val_categorical_accuracy: 0.3156 - 2s/epoch - 17ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5846 - categorical_accuracy: 0.3947 - val_loss: 1.5303 - val_categorical_accuracy: 0.4212 - 775ms/epoch - 5ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3388 - categorical_accuracy: 0.4886 - val_loss: 1.1301 - val_categorical_accuracy: 0.5687 - 742ms/epoch - 5ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.5194 - categorical_accuracy: 0.4296 - val_loss: 1.7640 - val_categorical_accuracy: 0.3699 - 746ms/epoch - 5ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.2773 - categorical_accuracy: 0.5308 - val_loss: 1.1530 - val_categorical_accuracy: 0.5593 - 748ms/epoch - 5ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.0684 - categorical_accuracy: 0.6024 - val_loss: 0.9064 - val_categorical_accuracy: 0.6446 - 808ms/epoch - 6ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.9201 - categorical_accuracy: 0.6512 - val_loss: 1.0297 - val_categorical_accuracy: 0.6077 - 894ms/epoch - 6ms/step
Epoch 8/1500
141/141 - 1s - loss: 1.0370 - categorical_accuracy: 0.6252 - val_loss: 0.7684 - val_categorical_accuracy: 0.7025 - 828ms/epoch - 6ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7943 - categorical_accuracy: 0.6988 - val_loss: 0.7713 - val_categorical_accuracy: 0.7087 - 972ms/epoch - 7ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.8451 - categorical_accuracy: 0.6920 - val_loss: 0.8527 - val_categorical_accuracy: 0.6801 - 936ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.7128 - categorical_accuracy: 0.7335 - val_loss: 0.7039 - val_categorical_accuracy: 0.7274 - 859ms/epoch - 6ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6429 - categorical_accuracy: 0.7592 - val_loss: 0.6812 - val_categorical_accuracy: 0.7373 - 910ms/epoch - 6ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.6183 - categorical_accuracy: 0.7703 - val_loss: 0.5493 - val_categorical_accuracy: 0.7955 - 895ms/epoch - 6ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.6259 - categorical_accuracy: 0.7724 - val_loss: 0.5530 - val_categorical_accuracy: 0.7950 - 858ms/epoch - 6ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5612 - categorical_accuracy: 0.7950 - val_loss: 0.5175 - val_categorical_accuracy: 0.8079 - 923ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5318 - categorical_accuracy: 0.8031 - val_loss: 0.4703 - val_categorical_accuracy: 0.8278 - 823ms/epoch - 6ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5009 - categorical_accuracy: 0.8153 - val_loss: 0.4926 - val_categorical_accuracy: 0.8098 - 848ms/epoch - 6ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.5327 - categorical_accuracy: 0.8102 - val_loss: 0.4647 - val_categorical_accuracy: 0.8268 - 956ms/epoch - 7ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4789 - categorical_accuracy: 0.8281 - val_loss: 0.4769 - val_categorical_accuracy: 0.8176 - 840ms/epoch - 6ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4426 - categorical_accuracy: 0.8392 - val_loss: 0.4517 - val_categorical_accuracy: 0.8358 - 875ms/epoch - 6ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4370 - categorical_accuracy: 0.8441 - val_loss: 0.4256 - val_categorical_accuracy: 0.8384 - 927ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4011 - categorical_accuracy: 0.8543 - val_loss: 0.4066 - val_categorical_accuracy: 0.8533 - 754ms/epoch - 5ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4359 - categorical_accuracy: 0.8483 - val_loss: 0.3931 - val_categorical_accuracy: 0.8589 - 731ms/epoch - 5ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3752 - categorical_accuracy: 0.8648 - val_loss: 0.5809 - val_categorical_accuracy: 0.7887 - 815ms/epoch - 6ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3802 - categorical_accuracy: 0.8650 - val_loss: 0.3525 - val_categorical_accuracy: 0.8721 - 1s/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3540 - categorical_accuracy: 0.8735 - val_loss: 0.3433 - val_categorical_accuracy: 0.8721 - 824ms/epoch - 6ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3346 - categorical_accuracy: 0.8795 - val_loss: 0.3135 - val_categorical_accuracy: 0.8874 - 832ms/epoch - 6ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3602 - categorical_accuracy: 0.8741 - val_loss: 0.3959 - val_categorical_accuracy: 0.8572 - 1s/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.4227 - categorical_accuracy: 0.8600 - val_loss: 0.3330 - val_categorical_accuracy: 0.8814 - 889ms/epoch - 6ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3167 - categorical_accuracy: 0.8884 - val_loss: 0.3307 - val_categorical_accuracy: 0.8823 - 844ms/epoch - 6ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.2894 - categorical_accuracy: 0.8977 - val_loss: 0.6012 - val_categorical_accuracy: 0.7945 - 926ms/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3123 - categorical_accuracy: 0.8915 - val_loss: 0.3044 - val_categorical_accuracy: 0.8901 - 900ms/epoch - 6ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3667 - categorical_accuracy: 0.8807 - val_loss: 0.2851 - val_categorical_accuracy: 0.8986 - 878ms/epoch - 6ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2786 - categorical_accuracy: 0.9018 - val_loss: 0.2770 - val_categorical_accuracy: 0.9017 - 914ms/epoch - 6ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2669 - categorical_accuracy: 0.9056 - val_loss: 0.2853 - val_categorical_accuracy: 0.8991 - 835ms/epoch - 6ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2561 - categorical_accuracy: 0.9092 - val_loss: 1.0968 - val_categorical_accuracy: 0.6863 - 883ms/epoch - 6ms/step
Epoch 37/1500
141/141 - 1s - loss: 2.4563 - categorical_accuracy: 0.2117 - val_loss: 1.7766 - val_categorical_accuracy: 0.3274 - 1s/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 1.6239 - categorical_accuracy: 0.3820 - val_loss: 1.5284 - val_categorical_accuracy: 0.4342 - 910ms/epoch - 6ms/step
Epoch 39/1500
141/141 - 1s - loss: 1.2663 - categorical_accuracy: 0.5217 - val_loss: 1.0361 - val_categorical_accuracy: 0.5961 - 865ms/epoch - 6ms/step
Epoch 40/1500
141/141 - 1s - loss: 1.0706 - categorical_accuracy: 0.5969 - val_loss: 1.1766 - val_categorical_accuracy: 0.5743 - 897ms/epoch - 6ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.9186 - categorical_accuracy: 0.6528 - val_loss: 0.7862 - val_categorical_accuracy: 0.7001 - 944ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.8023 - categorical_accuracy: 0.6957 - val_loss: 0.7493 - val_categorical_accuracy: 0.7129 - 841ms/epoch - 6ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.7208 - categorical_accuracy: 0.7269 - val_loss: 0.6753 - val_categorical_accuracy: 0.7418 - 908ms/epoch - 6ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.6885 - categorical_accuracy: 0.7422 - val_loss: 0.8472 - val_categorical_accuracy: 0.6835 - 966ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.6255 - categorical_accuracy: 0.7634 - val_loss: 1.2735 - val_categorical_accuracy: 0.5780 - 831ms/epoch - 6ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.7337 - categorical_accuracy: 0.7430 - val_loss: 0.6638 - val_categorical_accuracy: 0.7512 - 864ms/epoch - 6ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.5949 - categorical_accuracy: 0.7799 - val_loss: 0.5552 - val_categorical_accuracy: 0.7959 - 975ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.5103 - categorical_accuracy: 0.8090 - val_loss: 0.5089 - val_categorical_accuracy: 0.8072 - 830ms/epoch - 6ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.5154 - categorical_accuracy: 0.8103 - val_loss: 0.4745 - val_categorical_accuracy: 0.8204 - 846ms/epoch - 6ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.5185 - categorical_accuracy: 0.8127 - val_loss: 0.4778 - val_categorical_accuracy: 0.8173 - 935ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.7026 - categorical_accuracy: 0.7611 - val_loss: 0.5317 - val_categorical_accuracy: 0.8012 - 851ms/epoch - 6ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.4647 - categorical_accuracy: 0.8309 - val_loss: 0.4260 - val_categorical_accuracy: 0.8463 - 875ms/epoch - 6ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.4246 - categorical_accuracy: 0.8457 - val_loss: 0.3974 - val_categorical_accuracy: 0.8569 - 926ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.4272 - categorical_accuracy: 0.8473 - val_loss: 0.4203 - val_categorical_accuracy: 0.8496 - 830ms/epoch - 6ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.4449 - categorical_accuracy: 0.8468 - val_loss: 0.4237 - val_categorical_accuracy: 0.8442 - 932ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.3790 - categorical_accuracy: 0.8627 - val_loss: 0.4142 - val_categorical_accuracy: 0.8464 - 969ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.3661 - categorical_accuracy: 0.8686 - val_loss: 0.4353 - val_categorical_accuracy: 0.8410 - 847ms/epoch - 6ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.3873 - categorical_accuracy: 0.8653 - val_loss: 0.3445 - val_categorical_accuracy: 0.8777 - 852ms/epoch - 6ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.3616 - categorical_accuracy: 0.8726 - val_loss: 0.3815 - val_categorical_accuracy: 0.8598 - 967ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.3409 - categorical_accuracy: 0.8777 - val_loss: 0.3692 - val_categorical_accuracy: 0.8656 - 823ms/epoch - 6ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.3300 - categorical_accuracy: 0.8824 - val_loss: 0.3172 - val_categorical_accuracy: 0.8853 - 872ms/epoch - 6ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.4350 - categorical_accuracy: 0.8584 - val_loss: 0.3524 - val_categorical_accuracy: 0.8735 - 987ms/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.3315 - categorical_accuracy: 0.8840 - val_loss: 0.3024 - val_categorical_accuracy: 0.8933 - 844ms/epoch - 6ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2981 - categorical_accuracy: 0.8944 - val_loss: 0.3727 - val_categorical_accuracy: 0.8656 - 813ms/epoch - 6ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2977 - categorical_accuracy: 0.8946 - val_loss: 0.3320 - val_categorical_accuracy: 0.8812 - 1s/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.2832 - categorical_accuracy: 0.8995 - val_loss: 0.2804 - val_categorical_accuracy: 0.9015 - 899ms/epoch - 6ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.3502 - categorical_accuracy: 0.8852 - val_loss: 0.2813 - val_categorical_accuracy: 0.8989 - 858ms/epoch - 6ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.2826 - categorical_accuracy: 0.9004 - val_loss: 0.2636 - val_categorical_accuracy: 0.9077 - 939ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.2639 - categorical_accuracy: 0.9064 - val_loss: 0.2648 - val_categorical_accuracy: 0.9037 - 929ms/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.2757 - categorical_accuracy: 0.9035 - val_loss: 0.3260 - val_categorical_accuracy: 0.8862 - 843ms/epoch - 6ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.2593 - categorical_accuracy: 0.9102 - val_loss: 0.2618 - val_categorical_accuracy: 0.9044 - 873ms/epoch - 6ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.2458 - categorical_accuracy: 0.9132 - val_loss: 0.2571 - val_categorical_accuracy: 0.9070 - 965ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.2416 - categorical_accuracy: 0.9153 - val_loss: 0.3238 - val_categorical_accuracy: 0.8865 - 827ms/epoch - 6ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.2431 - categorical_accuracy: 0.9149 - val_loss: 0.3109 - val_categorical_accuracy: 0.8863 - 864ms/epoch - 6ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.2600 - categorical_accuracy: 0.9123 - val_loss: 0.4578 - val_categorical_accuracy: 0.8448 - 946ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.2474 - categorical_accuracy: 0.9150 - val_loss: 0.2421 - val_categorical_accuracy: 0.9139 - 834ms/epoch - 6ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.2313 - categorical_accuracy: 0.9189 - val_loss: 0.2415 - val_categorical_accuracy: 0.9152 - 746ms/epoch - 5ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.2384 - categorical_accuracy: 0.9195 - val_loss: 0.2602 - val_categorical_accuracy: 0.9096 - 732ms/epoch - 5ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.2200 - categorical_accuracy: 0.9234 - val_loss: 0.2507 - val_categorical_accuracy: 0.9124 - 722ms/epoch - 5ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.2207 - categorical_accuracy: 0.9238 - val_loss: 0.2563 - val_categorical_accuracy: 0.9103 - 775ms/epoch - 5ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.2381 - categorical_accuracy: 0.9191 - val_loss: 0.2349 - val_categorical_accuracy: 0.9175 - 1s/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.2009 - categorical_accuracy: 0.9304 - val_loss: 0.2999 - val_categorical_accuracy: 0.8976 - 901ms/epoch - 6ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.2636 - categorical_accuracy: 0.9151 - val_loss: 0.3778 - val_categorical_accuracy: 0.8729 - 841ms/epoch - 6ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.2052 - categorical_accuracy: 0.9291 - val_loss: 0.2301 - val_categorical_accuracy: 0.9190 - 909ms/epoch - 6ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.2086 - categorical_accuracy: 0.9280 - val_loss: 0.2220 - val_categorical_accuracy: 0.9206 - 1000ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.2113 - categorical_accuracy: 0.9285 - val_loss: 0.2413 - val_categorical_accuracy: 0.9152 - 831ms/epoch - 6ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.2004 - categorical_accuracy: 0.9312 - val_loss: 0.2096 - val_categorical_accuracy: 0.9282 - 833ms/epoch - 6ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1902 - categorical_accuracy: 0.9342 - val_loss: 0.2650 - val_categorical_accuracy: 0.9062 - 1s/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1786 - categorical_accuracy: 0.9382 - val_loss: 0.3577 - val_categorical_accuracy: 0.8710 - 980ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1939 - categorical_accuracy: 0.9340 - val_loss: 0.2472 - val_categorical_accuracy: 0.9152 - 838ms/epoch - 6ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.2330 - categorical_accuracy: 0.9247 - val_loss: 0.5023 - val_categorical_accuracy: 0.8359 - 839ms/epoch - 6ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1735 - categorical_accuracy: 0.9405 - val_loss: 0.2334 - val_categorical_accuracy: 0.9186 - 978ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1766 - categorical_accuracy: 0.9389 - val_loss: 0.2405 - val_categorical_accuracy: 0.9185 - 949ms/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1750 - categorical_accuracy: 0.9399 - val_loss: 0.2692 - val_categorical_accuracy: 0.9059 - 843ms/epoch - 6ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1800 - categorical_accuracy: 0.9397 - val_loss: 0.1905 - val_categorical_accuracy: 0.9348 - 895ms/epoch - 6ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1668 - categorical_accuracy: 0.9427 - val_loss: 0.3788 - val_categorical_accuracy: 0.8750 - 948ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.2064 - categorical_accuracy: 0.9333 - val_loss: 0.2016 - val_categorical_accuracy: 0.9298 - 819ms/epoch - 6ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1611 - categorical_accuracy: 0.9444 - val_loss: 0.2117 - val_categorical_accuracy: 0.9258 - 849ms/epoch - 6ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1804 - categorical_accuracy: 0.9392 - val_loss: 0.1897 - val_categorical_accuracy: 0.9340 - 995ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1506 - categorical_accuracy: 0.9488 - val_loss: 0.2378 - val_categorical_accuracy: 0.9171 - 814ms/epoch - 6ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.2456 - categorical_accuracy: 0.9261 - val_loss: 0.2052 - val_categorical_accuracy: 0.9297 - 833ms/epoch - 6ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1710 - categorical_accuracy: 0.9426 - val_loss: 0.1926 - val_categorical_accuracy: 0.9329 - 981ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1504 - categorical_accuracy: 0.9488 - val_loss: 0.2166 - val_categorical_accuracy: 0.9245 - 842ms/epoch - 6ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1519 - categorical_accuracy: 0.9474 - val_loss: 0.2488 - val_categorical_accuracy: 0.9146 - 830ms/epoch - 6ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1611 - categorical_accuracy: 0.9453 - val_loss: 0.2040 - val_categorical_accuracy: 0.9302 - 951ms/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1392 - categorical_accuracy: 0.9527 - val_loss: 0.2318 - val_categorical_accuracy: 0.9162 - 829ms/epoch - 6ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1546 - categorical_accuracy: 0.9470 - val_loss: 0.1999 - val_categorical_accuracy: 0.9313 - 840ms/epoch - 6ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1656 - categorical_accuracy: 0.9454 - val_loss: 0.2115 - val_categorical_accuracy: 0.9249 - 993ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1533 - categorical_accuracy: 0.9474 - val_loss: 0.1900 - val_categorical_accuracy: 0.9350 - 845ms/epoch - 6ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1391 - categorical_accuracy: 0.9524 - val_loss: 0.2024 - val_categorical_accuracy: 0.9312 - 860ms/epoch - 6ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1364 - categorical_accuracy: 0.9531 - val_loss: 0.2651 - val_categorical_accuracy: 0.9108 - 991ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1565 - categorical_accuracy: 0.9475 - val_loss: 0.1798 - val_categorical_accuracy: 0.9390 - 902ms/epoch - 6ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1285 - categorical_accuracy: 0.9561 - val_loss: 0.1824 - val_categorical_accuracy: 0.9379 - 843ms/epoch - 6ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1665 - categorical_accuracy: 0.9451 - val_loss: 0.2062 - val_categorical_accuracy: 0.9291 - 920ms/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1303 - categorical_accuracy: 0.9556 - val_loss: 0.2089 - val_categorical_accuracy: 0.9307 - 880ms/epoch - 6ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1351 - categorical_accuracy: 0.9543 - val_loss: 0.1919 - val_categorical_accuracy: 0.9363 - 814ms/epoch - 6ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1415 - categorical_accuracy: 0.9516 - val_loss: 0.1988 - val_categorical_accuracy: 0.9336 - 929ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1484 - categorical_accuracy: 0.9507 - val_loss: 0.1761 - val_categorical_accuracy: 0.9407 - 881ms/epoch - 6ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1267 - categorical_accuracy: 0.9568 - val_loss: 0.2000 - val_categorical_accuracy: 0.9340 - 993ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1208 - categorical_accuracy: 0.9589 - val_loss: 0.2653 - val_categorical_accuracy: 0.9093 - 975ms/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1481 - categorical_accuracy: 0.9504 - val_loss: 0.2111 - val_categorical_accuracy: 0.9309 - 853ms/epoch - 6ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1185 - categorical_accuracy: 0.9596 - val_loss: 0.2023 - val_categorical_accuracy: 0.9312 - 846ms/epoch - 6ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1361 - categorical_accuracy: 0.9546 - val_loss: 0.8950 - val_categorical_accuracy: 0.7732 - 923ms/epoch - 7ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.2694 - categorical_accuracy: 0.9227 - val_loss: 0.1816 - val_categorical_accuracy: 0.9395 - 849ms/epoch - 6ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1224 - categorical_accuracy: 0.9583 - val_loss: 0.1715 - val_categorical_accuracy: 0.9429 - 907ms/epoch - 6ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9619 - val_loss: 0.1810 - val_categorical_accuracy: 0.9400 - 914ms/epoch - 6ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1506 - categorical_accuracy: 0.9510 - val_loss: 0.1852 - val_categorical_accuracy: 0.9377 - 821ms/epoch - 6ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1201 - categorical_accuracy: 0.9593 - val_loss: 0.2171 - val_categorical_accuracy: 0.9292 - 923ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1211 - categorical_accuracy: 0.9593 - val_loss: 0.6585 - val_categorical_accuracy: 0.8326 - 972ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1213 - categorical_accuracy: 0.9593 - val_loss: 0.1985 - val_categorical_accuracy: 0.9356 - 840ms/epoch - 6ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1082 - categorical_accuracy: 0.9629 - val_loss: 0.2986 - val_categorical_accuracy: 0.9062 - 824ms/epoch - 6ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1190 - categorical_accuracy: 0.9596 - val_loss: 0.1908 - val_categorical_accuracy: 0.9380 - 1s/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1107 - categorical_accuracy: 0.9623 - val_loss: 0.2039 - val_categorical_accuracy: 0.9363 - 862ms/epoch - 6ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1127 - categorical_accuracy: 0.9616 - val_loss: 0.1871 - val_categorical_accuracy: 0.9385 - 837ms/epoch - 6ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1165 - categorical_accuracy: 0.9605 - val_loss: 0.1829 - val_categorical_accuracy: 0.9400 - 905ms/epoch - 6ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1440 - categorical_accuracy: 0.9542 - val_loss: 0.1748 - val_categorical_accuracy: 0.9436 - 963ms/epoch - 7ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1131 - categorical_accuracy: 0.9615 - val_loss: 0.2881 - val_categorical_accuracy: 0.9086 - 825ms/epoch - 6ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1246 - categorical_accuracy: 0.9587 - val_loss: 0.1958 - val_categorical_accuracy: 0.9348 - 856ms/epoch - 6ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1286 - categorical_accuracy: 0.9584 - val_loss: 0.1692 - val_categorical_accuracy: 0.9456 - 1000ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1043 - categorical_accuracy: 0.9646 - val_loss: 0.2052 - val_categorical_accuracy: 0.9341 - 916ms/epoch - 6ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1171 - categorical_accuracy: 0.9608 - val_loss: 0.1893 - val_categorical_accuracy: 0.9407 - 838ms/epoch - 6ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1058 - categorical_accuracy: 0.9641 - val_loss: 0.1752 - val_categorical_accuracy: 0.9424 - 930ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1048 - categorical_accuracy: 0.9645 - val_loss: 0.1806 - val_categorical_accuracy: 0.9417 - 989ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1172 - categorical_accuracy: 0.9603 - val_loss: 0.8297 - val_categorical_accuracy: 0.7922 - 896ms/epoch - 6ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1258 - categorical_accuracy: 0.9591 - val_loss: 0.1857 - val_categorical_accuracy: 0.9401 - 838ms/epoch - 6ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1637 - categorical_accuracy: 0.9505 - val_loss: 0.2001 - val_categorical_accuracy: 0.9313 - 908ms/epoch - 6ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9666 - val_loss: 0.1853 - val_categorical_accuracy: 0.9391 - 891ms/epoch - 6ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9667 - val_loss: 0.1908 - val_categorical_accuracy: 0.9376 - 861ms/epoch - 6ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1320 - categorical_accuracy: 0.9582 - val_loss: 0.1744 - val_categorical_accuracy: 0.9422 - 897ms/epoch - 6ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9669 - val_loss: 0.1654 - val_categorical_accuracy: 0.9464 - 917ms/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0973 - categorical_accuracy: 0.9669 - val_loss: 0.1978 - val_categorical_accuracy: 0.9395 - 840ms/epoch - 6ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1033 - categorical_accuracy: 0.9652 - val_loss: 0.1673 - val_categorical_accuracy: 0.9475 - 912ms/epoch - 6ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1269 - categorical_accuracy: 0.9601 - val_loss: 0.1781 - val_categorical_accuracy: 0.9430 - 933ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1376 - categorical_accuracy: 0.9575 - val_loss: 0.1936 - val_categorical_accuracy: 0.9374 - 831ms/epoch - 6ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0983 - categorical_accuracy: 0.9665 - val_loss: 0.1725 - val_categorical_accuracy: 0.9446 - 859ms/epoch - 6ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9673 - val_loss: 0.1671 - val_categorical_accuracy: 0.9460 - 984ms/epoch - 7ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9680 - val_loss: 0.2248 - val_categorical_accuracy: 0.9267 - 847ms/epoch - 6ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9667 - val_loss: 0.1928 - val_categorical_accuracy: 0.9400 - 854ms/epoch - 6ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9672 - val_loss: 0.1856 - val_categorical_accuracy: 0.9397 - 1s/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.1531 - categorical_accuracy: 0.9538 - val_loss: 0.1703 - val_categorical_accuracy: 0.9460 - 914ms/epoch - 6ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0890 - categorical_accuracy: 0.9701 - val_loss: 0.2319 - val_categorical_accuracy: 0.9267 - 847ms/epoch - 6ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1166 - categorical_accuracy: 0.9616 - val_loss: 0.1651 - val_categorical_accuracy: 0.9485 - 912ms/epoch - 6ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9703 - val_loss: 0.1950 - val_categorical_accuracy: 0.9410 - 920ms/epoch - 7ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0897 - categorical_accuracy: 0.9694 - val_loss: 0.2038 - val_categorical_accuracy: 0.9393 - 829ms/epoch - 6ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9675 - val_loss: 0.1873 - val_categorical_accuracy: 0.9407 - 884ms/epoch - 6ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1187 - categorical_accuracy: 0.9623 - val_loss: 0.1704 - val_categorical_accuracy: 0.9461 - 990ms/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9713 - val_loss: 0.1902 - val_categorical_accuracy: 0.9424 - 893ms/epoch - 6ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.1025 - categorical_accuracy: 0.9658 - val_loss: 0.1712 - val_categorical_accuracy: 0.9455 - 829ms/epoch - 6ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9705 - val_loss: 0.1896 - val_categorical_accuracy: 0.9420 - 942ms/epoch - 7ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9703 - val_loss: 0.1735 - val_categorical_accuracy: 0.9472 - 890ms/epoch - 6ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1023 - categorical_accuracy: 0.9673 - val_loss: 0.1724 - val_categorical_accuracy: 0.9479 - 854ms/epoch - 6ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9682 - val_loss: 0.2092 - val_categorical_accuracy: 0.9371 - 901ms/epoch - 6ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1137 - categorical_accuracy: 0.9638 - val_loss: 0.1605 - val_categorical_accuracy: 0.9505 - 987ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9711 - val_loss: 0.1661 - val_categorical_accuracy: 0.9507 - 815ms/epoch - 6ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0862 - categorical_accuracy: 0.9704 - val_loss: 0.1832 - val_categorical_accuracy: 0.9457 - 820ms/epoch - 6ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9686 - val_loss: 0.1614 - val_categorical_accuracy: 0.9509 - 998ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.1045 - categorical_accuracy: 0.9652 - val_loss: 0.1899 - val_categorical_accuracy: 0.9416 - 848ms/epoch - 6ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9733 - val_loss: 0.1909 - val_categorical_accuracy: 0.9424 - 825ms/epoch - 6ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.1152 - categorical_accuracy: 0.9635 - val_loss: 0.1560 - val_categorical_accuracy: 0.9512 - 970ms/epoch - 7ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9729 - val_loss: 0.1805 - val_categorical_accuracy: 0.9430 - 866ms/epoch - 6ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1341 - categorical_accuracy: 0.9597 - val_loss: 0.1739 - val_categorical_accuracy: 0.9462 - 875ms/epoch - 6ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9735 - val_loss: 0.1731 - val_categorical_accuracy: 0.9489 - 989ms/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9726 - val_loss: 0.1775 - val_categorical_accuracy: 0.9465 - 952ms/epoch - 7ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9702 - val_loss: 0.1732 - val_categorical_accuracy: 0.9482 - 820ms/epoch - 6ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9721 - val_loss: 0.1797 - val_categorical_accuracy: 0.9435 - 868ms/epoch - 6ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9723 - val_loss: 0.1755 - val_categorical_accuracy: 0.9482 - 985ms/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9736 - val_loss: 0.2169 - val_categorical_accuracy: 0.9361 - 912ms/epoch - 6ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9679 - val_loss: 0.1759 - val_categorical_accuracy: 0.9469 - 843ms/epoch - 6ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.1114 - categorical_accuracy: 0.9643 - val_loss: 0.1732 - val_categorical_accuracy: 0.9468 - 935ms/epoch - 7ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9745 - val_loss: 0.1870 - val_categorical_accuracy: 0.9441 - 944ms/epoch - 7ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9729 - val_loss: 0.1812 - val_categorical_accuracy: 0.9467 - 845ms/epoch - 6ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9701 - val_loss: 0.1799 - val_categorical_accuracy: 0.9463 - 858ms/epoch - 6ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.1242 - categorical_accuracy: 0.9624 - val_loss: 0.1869 - val_categorical_accuracy: 0.9383 - 953ms/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9742 - val_loss: 0.1693 - val_categorical_accuracy: 0.9501 - 830ms/epoch - 6ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9751 - val_loss: 0.1897 - val_categorical_accuracy: 0.9437 - 881ms/epoch - 6ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9699 - val_loss: 0.1601 - val_categorical_accuracy: 0.9513 - 972ms/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9742 - val_loss: 0.2338 - val_categorical_accuracy: 0.9327 - 843ms/epoch - 6ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9749 - val_loss: 0.1885 - val_categorical_accuracy: 0.9451 - 829ms/epoch - 6ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9749 - val_loss: 0.1766 - val_categorical_accuracy: 0.9483 - 934ms/epoch - 7ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9748 - val_loss: 0.1964 - val_categorical_accuracy: 0.9451 - 840ms/epoch - 6ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0762 - categorical_accuracy: 0.9739 - val_loss: 0.1677 - val_categorical_accuracy: 0.9518 - 902ms/epoch - 6ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9683 - val_loss: 0.1768 - val_categorical_accuracy: 0.9474 - 978ms/epoch - 7ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0736 - categorical_accuracy: 0.9748 - val_loss: 0.1824 - val_categorical_accuracy: 0.9445 - 823ms/epoch - 6ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0831 - categorical_accuracy: 0.9717 - val_loss: 0.1968 - val_categorical_accuracy: 0.9436 - 814ms/epoch - 6ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0976 - categorical_accuracy: 0.9678 - val_loss: 0.1883 - val_categorical_accuracy: 0.9430 - 1s/epoch - 7ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0714 - categorical_accuracy: 0.9758 - val_loss: 0.1755 - val_categorical_accuracy: 0.9479 - 881ms/epoch - 6ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9738 - val_loss: 0.1719 - val_categorical_accuracy: 0.9509 - 841ms/epoch - 6ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9753 - val_loss: 0.1806 - val_categorical_accuracy: 0.9477 - 950ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9728 - val_loss: 0.1791 - val_categorical_accuracy: 0.9475 - 907ms/epoch - 6ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.1529 - categorical_accuracy: 0.9569 - val_loss: 0.1899 - val_categorical_accuracy: 0.9389 - 837ms/epoch - 6ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9748 - val_loss: 0.1913 - val_categorical_accuracy: 0.9455 - 906ms/epoch - 6ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9750 - val_loss: 0.1743 - val_categorical_accuracy: 0.9514 - 880ms/epoch - 6ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9764 - val_loss: 0.2141 - val_categorical_accuracy: 0.9381 - 826ms/epoch - 6ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9753 - val_loss: 0.1731 - val_categorical_accuracy: 0.9500 - 892ms/epoch - 6ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.1593 - categorical_accuracy: 0.9541 - val_loss: 0.1724 - val_categorical_accuracy: 0.9479 - 952ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0706 - categorical_accuracy: 0.9762 - val_loss: 0.1988 - val_categorical_accuracy: 0.9406 - 826ms/epoch - 6ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9758 - val_loss: 0.1757 - val_categorical_accuracy: 0.9505 - 840ms/epoch - 6ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0799 - categorical_accuracy: 0.9733 - val_loss: 0.1711 - val_categorical_accuracy: 0.9522 - 993ms/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.2034 - categorical_accuracy: 0.9459 - val_loss: 0.2971 - val_categorical_accuracy: 0.9006 - 841ms/epoch - 6ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0997 - categorical_accuracy: 0.9667 - val_loss: 0.1744 - val_categorical_accuracy: 0.9480 - 836ms/epoch - 6ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9759 - val_loss: 0.1756 - val_categorical_accuracy: 0.9501 - 948ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9754 - val_loss: 0.1812 - val_categorical_accuracy: 0.9478 - 852ms/epoch - 6ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0680 - categorical_accuracy: 0.9768 - val_loss: 0.2058 - val_categorical_accuracy: 0.9413 - 865ms/epoch - 6ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9697 - val_loss: 0.1753 - val_categorical_accuracy: 0.9514 - 1000ms/epoch - 7ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9767 - val_loss: 0.2064 - val_categorical_accuracy: 0.9368 - 815ms/epoch - 6ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9772 - val_loss: 0.2109 - val_categorical_accuracy: 0.9392 - 830ms/epoch - 6ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9684 - val_loss: 0.1690 - val_categorical_accuracy: 0.9517 - 1s/epoch - 7ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9768 - val_loss: 0.1607 - val_categorical_accuracy: 0.9548 - 870ms/epoch - 6ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9771 - val_loss: 0.1775 - val_categorical_accuracy: 0.9494 - 818ms/epoch - 6ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9727 - val_loss: 0.1692 - val_categorical_accuracy: 0.9520 - 913ms/epoch - 6ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9774 - val_loss: 0.1739 - val_categorical_accuracy: 0.9518 - 862ms/epoch - 6ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9772 - val_loss: 0.1686 - val_categorical_accuracy: 0.9517 - 831ms/epoch - 6ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0702 - categorical_accuracy: 0.9756 - val_loss: 0.1907 - val_categorical_accuracy: 0.9482 - 934ms/epoch - 7ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9736 - val_loss: 0.1775 - val_categorical_accuracy: 0.9499 - 1s/epoch - 7ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9762 - val_loss: 0.1686 - val_categorical_accuracy: 0.9537 - 831ms/epoch - 6ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9780 - val_loss: 0.1793 - val_categorical_accuracy: 0.9513 - 848ms/epoch - 6ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.1048 - categorical_accuracy: 0.9677 - val_loss: 0.1776 - val_categorical_accuracy: 0.9511 - 1s/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9780 - val_loss: 0.1797 - val_categorical_accuracy: 0.9502 - 910ms/epoch - 6ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9782 - val_loss: 0.1640 - val_categorical_accuracy: 0.9564 - 836ms/epoch - 6ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9770 - val_loss: 0.2140 - val_categorical_accuracy: 0.9405 - 940ms/epoch - 7ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9775 - val_loss: 0.1667 - val_categorical_accuracy: 0.9551 - 862ms/epoch - 6ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0977 - categorical_accuracy: 0.9689 - val_loss: 0.1699 - val_categorical_accuracy: 0.9512 - 839ms/epoch - 6ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9765 - val_loss: 0.1868 - val_categorical_accuracy: 0.9481 - 921ms/epoch - 7ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9724 - val_loss: 0.1713 - val_categorical_accuracy: 0.9533 - 824ms/epoch - 6ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9787 - val_loss: 0.2092 - val_categorical_accuracy: 0.9420 - 823ms/epoch - 6ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9776 - val_loss: 0.1878 - val_categorical_accuracy: 0.9475 - 1s/epoch - 7ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9704 - val_loss: 0.1682 - val_categorical_accuracy: 0.9518 - 907ms/epoch - 6ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9787 - val_loss: 0.1752 - val_categorical_accuracy: 0.9515 - 833ms/epoch - 6ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9783 - val_loss: 0.1662 - val_categorical_accuracy: 0.9553 - 879ms/epoch - 6ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9787 - val_loss: 0.2079 - val_categorical_accuracy: 0.9423 - 943ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9771 - val_loss: 0.1699 - val_categorical_accuracy: 0.9552 - 849ms/epoch - 6ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9665 - val_loss: 0.1728 - val_categorical_accuracy: 0.9507 - 878ms/epoch - 6ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9791 - val_loss: 0.1795 - val_categorical_accuracy: 0.9500 - 856ms/epoch - 6ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9778 - val_loss: 0.1775 - val_categorical_accuracy: 0.9525 - 842ms/epoch - 6ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9793 - val_loss: 0.1681 - val_categorical_accuracy: 0.9553 - 915ms/epoch - 6ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9773 - val_loss: 0.1710 - val_categorical_accuracy: 0.9545 - 847ms/epoch - 6ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9787 - val_loss: 0.1761 - val_categorical_accuracy: 0.9543 - 809ms/epoch - 6ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9778 - val_loss: 0.1814 - val_categorical_accuracy: 0.9518 - 991ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0986 - categorical_accuracy: 0.9693 - val_loss: 0.1639 - val_categorical_accuracy: 0.9543 - 825ms/epoch - 6ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9794 - val_loss: 0.1788 - val_categorical_accuracy: 0.9509 - 853ms/epoch - 6ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9783 - val_loss: 0.1887 - val_categorical_accuracy: 0.9487 - 1s/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.1235 - categorical_accuracy: 0.9630 - val_loss: 0.1775 - val_categorical_accuracy: 0.9502 - 933ms/epoch - 7ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9795 - val_loss: 0.1902 - val_categorical_accuracy: 0.9471 - 839ms/epoch - 6ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9794 - val_loss: 0.1666 - val_categorical_accuracy: 0.9558 - 878ms/epoch - 6ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9795 - val_loss: 0.1776 - val_categorical_accuracy: 0.9530 - 976ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0914 - categorical_accuracy: 0.9708 - val_loss: 0.1636 - val_categorical_accuracy: 0.9537 - 822ms/epoch - 6ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9796 - val_loss: 0.1868 - val_categorical_accuracy: 0.9487 - 834ms/epoch - 6ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9736 - val_loss: 0.1751 - val_categorical_accuracy: 0.9529 - 1s/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9795 - val_loss: 0.1801 - val_categorical_accuracy: 0.9515 - 824ms/epoch - 6ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9794 - val_loss: 0.1805 - val_categorical_accuracy: 0.9531 - 844ms/epoch - 6ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9721 - val_loss: 0.1753 - val_categorical_accuracy: 0.9513 - 972ms/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9797 - val_loss: 0.1783 - val_categorical_accuracy: 0.9511 - 862ms/epoch - 6ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9789 - val_loss: 0.1835 - val_categorical_accuracy: 0.9521 - 836ms/epoch - 6ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.1061 - categorical_accuracy: 0.9684 - val_loss: 0.1794 - val_categorical_accuracy: 0.9495 - 986ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9804 - val_loss: 0.1693 - val_categorical_accuracy: 0.9545 - 847ms/epoch - 6ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9795 - val_loss: 0.2072 - val_categorical_accuracy: 0.9457 - 825ms/epoch - 6ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9778 - val_loss: 0.1676 - val_categorical_accuracy: 0.9555 - 983ms/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9800 - val_loss: 0.2237 - val_categorical_accuracy: 0.9396 - 898ms/epoch - 6ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9773 - val_loss: 0.1971 - val_categorical_accuracy: 0.9474 - 863ms/epoch - 6ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9803 - val_loss: 0.1863 - val_categorical_accuracy: 0.9522 - 914ms/epoch - 6ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9804 - val_loss: 0.1776 - val_categorical_accuracy: 0.9543 - 959ms/epoch - 7ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9789 - val_loss: 0.1824 - val_categorical_accuracy: 0.9533 - 843ms/epoch - 6ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9751 - val_loss: 0.1722 - val_categorical_accuracy: 0.9553 - 828ms/epoch - 6ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9797 - val_loss: 0.3968 - val_categorical_accuracy: 0.9038 - 910ms/epoch - 6ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9687 - val_loss: 0.1750 - val_categorical_accuracy: 0.9538 - 815ms/epoch - 6ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9803 - val_loss: 0.1754 - val_categorical_accuracy: 0.9537 - 886ms/epoch - 6ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9743 - val_loss: 0.2163 - val_categorical_accuracy: 0.9339 - 920ms/epoch - 7ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9789 - val_loss: 0.1720 - val_categorical_accuracy: 0.9548 - 828ms/epoch - 6ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9806 - val_loss: 0.2197 - val_categorical_accuracy: 0.9394 - 888ms/epoch - 6ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.1323 - categorical_accuracy: 0.9617 - val_loss: 0.1724 - val_categorical_accuracy: 0.9521 - 957ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9801 - val_loss: 0.1847 - val_categorical_accuracy: 0.9500 - 835ms/epoch - 6ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9805 - val_loss: 0.1744 - val_categorical_accuracy: 0.9546 - 864ms/epoch - 6ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9794 - val_loss: 0.1904 - val_categorical_accuracy: 0.9481 - 1s/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9793 - val_loss: 0.3058 - val_categorical_accuracy: 0.9166 - 882ms/epoch - 6ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9785 - val_loss: 0.1781 - val_categorical_accuracy: 0.9540 - 826ms/epoch - 6ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0899 - categorical_accuracy: 0.9724 - val_loss: 0.1823 - val_categorical_accuracy: 0.9501 - 918ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9800 - val_loss: 0.1783 - val_categorical_accuracy: 0.9526 - 923ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9806 - val_loss: 0.2031 - val_categorical_accuracy: 0.9451 - 831ms/epoch - 6ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9794 - val_loss: 0.1807 - val_categorical_accuracy: 0.9525 - 867ms/epoch - 6ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9790 - val_loss: 0.2112 - val_categorical_accuracy: 0.9435 - 881ms/epoch - 6ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9792 - val_loss: 0.1826 - val_categorical_accuracy: 0.9539 - 840ms/epoch - 6ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9808 - val_loss: 0.1857 - val_categorical_accuracy: 0.9528 - 951ms/epoch - 7ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.1425 - categorical_accuracy: 0.9597 - val_loss: 0.1750 - val_categorical_accuracy: 0.9517 - 896ms/epoch - 6ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9812 - val_loss: 0.1752 - val_categorical_accuracy: 0.9548 - 831ms/epoch - 6ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9809 - val_loss: 0.1799 - val_categorical_accuracy: 0.9528 - 900ms/epoch - 6ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9810 - val_loss: 0.1692 - val_categorical_accuracy: 0.9577 - 938ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9811 - val_loss: 0.1784 - val_categorical_accuracy: 0.9544 - 824ms/epoch - 6ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9807 - val_loss: 0.1821 - val_categorical_accuracy: 0.9529 - 859ms/epoch - 6ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9805 - val_loss: 0.5873 - val_categorical_accuracy: 0.8671 - 1000ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0868 - categorical_accuracy: 0.9732 - val_loss: 0.1730 - val_categorical_accuracy: 0.9549 - 882ms/epoch - 6ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9814 - val_loss: 0.1707 - val_categorical_accuracy: 0.9570 - 818ms/epoch - 6ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9798 - val_loss: 0.1719 - val_categorical_accuracy: 0.9570 - 889ms/epoch - 6ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9809 - val_loss: 0.1858 - val_categorical_accuracy: 0.9538 - 891ms/epoch - 6ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9809 - val_loss: 0.2650 - val_categorical_accuracy: 0.9377 - 836ms/epoch - 6ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9717 - val_loss: 0.1824 - val_categorical_accuracy: 0.9543 - 929ms/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9806 - val_loss: 0.1813 - val_categorical_accuracy: 0.9548 - 825ms/epoch - 6ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9815 - val_loss: 0.1771 - val_categorical_accuracy: 0.9553 - 850ms/epoch - 6ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.1783 - val_categorical_accuracy: 0.9554 - 1s/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9817 - val_loss: 0.1964 - val_categorical_accuracy: 0.9500 - 892ms/epoch - 6ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9800 - val_loss: 0.1826 - val_categorical_accuracy: 0.9546 - 797ms/epoch - 6ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9809 - val_loss: 0.1924 - val_categorical_accuracy: 0.9521 - 900ms/epoch - 6ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9815 - val_loss: 0.2000 - val_categorical_accuracy: 0.9479 - 909ms/epoch - 6ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9754 - val_loss: 0.1786 - val_categorical_accuracy: 0.9547 - 835ms/epoch - 6ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9817 - val_loss: 0.2026 - val_categorical_accuracy: 0.9520 - 917ms/epoch - 7ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9816 - val_loss: 0.1902 - val_categorical_accuracy: 0.9516 - 1s/epoch - 7ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.2126 - val_categorical_accuracy: 0.9471 - 865ms/epoch - 6ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9814 - val_loss: 0.2136 - val_categorical_accuracy: 0.9460 - 823ms/epoch - 6ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0997 - categorical_accuracy: 0.9700 - val_loss: 0.1856 - val_categorical_accuracy: 0.9517 - 909ms/epoch - 6ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9811 - val_loss: 0.1841 - val_categorical_accuracy: 0.9531 - 930ms/epoch - 7ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9720 - val_loss: 0.1686 - val_categorical_accuracy: 0.9545 - 836ms/epoch - 6ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9824 - val_loss: 0.1776 - val_categorical_accuracy: 0.9547 - 884ms/epoch - 6ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9820 - val_loss: 0.1757 - val_categorical_accuracy: 0.9560 - 980ms/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9718 - val_loss: 0.1771 - val_categorical_accuracy: 0.9534 - 831ms/epoch - 6ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1856 - val_categorical_accuracy: 0.9548 - 845ms/epoch - 6ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9816 - val_loss: 0.1870 - val_categorical_accuracy: 0.9496 - 1s/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9749 - val_loss: 0.1772 - val_categorical_accuracy: 0.9537 - 943ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1895 - val_categorical_accuracy: 0.9523 - 835ms/epoch - 6ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9818 - val_loss: 0.1907 - val_categorical_accuracy: 0.9517 - 824ms/epoch - 6ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9781 - val_loss: 0.7582 - val_categorical_accuracy: 0.8432 - 968ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9747 - val_loss: 0.1750 - val_categorical_accuracy: 0.9558 - 814ms/epoch - 6ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.1820 - val_categorical_accuracy: 0.9514 - 846ms/epoch - 6ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9785 - val_loss: 0.1898 - val_categorical_accuracy: 0.9520 - 966ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9823 - val_loss: 0.1906 - val_categorical_accuracy: 0.9544 - 830ms/epoch - 6ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9818 - val_loss: 0.1868 - val_categorical_accuracy: 0.9527 - 833ms/epoch - 6ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9819 - val_loss: 0.2033 - val_categorical_accuracy: 0.9496 - 1s/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.1037 - categorical_accuracy: 0.9694 - val_loss: 0.1725 - val_categorical_accuracy: 0.9558 - 850ms/epoch - 6ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9819 - val_loss: 0.1792 - val_categorical_accuracy: 0.9552 - 825ms/epoch - 6ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9814 - val_loss: 0.1786 - val_categorical_accuracy: 0.9563 - 985ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9773 - val_loss: 0.3710 - val_categorical_accuracy: 0.9007 - 884ms/epoch - 6ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9802 - val_loss: 0.1779 - val_categorical_accuracy: 0.9545 - 832ms/epoch - 6ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9817 - val_loss: 0.1915 - val_categorical_accuracy: 0.9537 - 901ms/epoch - 6ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1797 - val_categorical_accuracy: 0.9566 - 984ms/epoch - 7ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9818 - val_loss: 0.1883 - val_categorical_accuracy: 0.9560 - 904ms/epoch - 6ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9825 - val_loss: 0.1819 - val_categorical_accuracy: 0.9559 - 838ms/epoch - 6ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9821 - val_loss: 0.1873 - val_categorical_accuracy: 0.9522 - 930ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9779 - val_loss: 0.1936 - val_categorical_accuracy: 0.9498 - 954ms/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9821 - val_loss: 0.1773 - val_categorical_accuracy: 0.9568 - 821ms/epoch - 6ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9825 - val_loss: 0.1815 - val_categorical_accuracy: 0.9558 - 842ms/epoch - 6ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9820 - val_loss: 0.1871 - val_categorical_accuracy: 0.9563 - 962ms/epoch - 7ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9814 - val_loss: 0.2105 - val_categorical_accuracy: 0.9481 - 838ms/epoch - 6ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1936 - val_categorical_accuracy: 0.9545 - 854ms/epoch - 6ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9800 - val_loss: 0.1811 - val_categorical_accuracy: 0.9565 - 979ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9815 - val_loss: 0.1859 - val_categorical_accuracy: 0.9555 - 845ms/epoch - 6ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9741 - val_loss: 0.1850 - val_categorical_accuracy: 0.9514 - 856ms/epoch - 6ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9823 - val_loss: 0.1843 - val_categorical_accuracy: 0.9541 - 966ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1907 - val_categorical_accuracy: 0.9526 - 829ms/epoch - 6ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9814 - val_loss: 0.1850 - val_categorical_accuracy: 0.9544 - 844ms/epoch - 6ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9756 - val_loss: 0.1851 - val_categorical_accuracy: 0.9533 - 976ms/epoch - 7ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.2398 - val_categorical_accuracy: 0.9381 - 819ms/epoch - 6ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9827 - val_loss: 0.1773 - val_categorical_accuracy: 0.9562 - 850ms/epoch - 6ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9821 - val_loss: 0.1753 - val_categorical_accuracy: 0.9592 - 998ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.2480 - val_categorical_accuracy: 0.9373 - 972ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9690 - val_loss: 0.1902 - val_categorical_accuracy: 0.9522 - 843ms/epoch - 6ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9829 - val_loss: 0.1815 - val_categorical_accuracy: 0.9566 - 831ms/epoch - 6ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.2168 - val_categorical_accuracy: 0.9467 - 982ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1940 - val_categorical_accuracy: 0.9534 - 889ms/epoch - 6ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.1831 - val_categorical_accuracy: 0.9581 - 826ms/epoch - 6ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.1857 - val_categorical_accuracy: 0.9559 - 928ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9825 - val_loss: 0.1919 - val_categorical_accuracy: 0.9541 - 855ms/epoch - 6ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9813 - val_loss: 0.2113 - val_categorical_accuracy: 0.9492 - 832ms/epoch - 6ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9819 - val_loss: 0.1868 - val_categorical_accuracy: 0.9556 - 913ms/epoch - 6ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9824 - val_loss: 0.1915 - val_categorical_accuracy: 0.9528 - 874ms/epoch - 6ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9823 - val_loss: 0.1892 - val_categorical_accuracy: 0.9565 - 828ms/epoch - 6ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9827 - val_loss: 0.1901 - val_categorical_accuracy: 0.9574 - 933ms/epoch - 7ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9713 - val_loss: 0.1912 - val_categorical_accuracy: 0.9519 - 873ms/epoch - 6ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9834 - val_loss: 0.1916 - val_categorical_accuracy: 0.9513 - 830ms/epoch - 6ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9822 - val_loss: 0.2399 - val_categorical_accuracy: 0.9394 - 918ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9826 - val_loss: 0.2214 - val_categorical_accuracy: 0.9469 - 958ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9827 - val_loss: 0.1892 - val_categorical_accuracy: 0.9572 - 845ms/epoch - 6ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.1877 - val_categorical_accuracy: 0.9545 - 856ms/epoch - 6ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9823 - val_loss: 0.1998 - val_categorical_accuracy: 0.9543 - 1s/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9823 - val_loss: 0.1992 - val_categorical_accuracy: 0.9525 - 1s/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9811 - val_loss: 0.1912 - val_categorical_accuracy: 0.9545 - 895ms/epoch - 6ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9745 - val_loss: 0.1916 - val_categorical_accuracy: 0.9523 - 834ms/epoch - 6ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9827 - val_loss: 0.1850 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9836 - val_loss: 0.2004 - val_categorical_accuracy: 0.9521 - 882ms/epoch - 6ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.2039 - val_categorical_accuracy: 0.9497 - 817ms/epoch - 6ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9832 - val_loss: 0.1993 - val_categorical_accuracy: 0.9507 - 909ms/epoch - 6ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9770 - val_loss: 0.1893 - val_categorical_accuracy: 0.9500 - 843ms/epoch - 6ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9825 - val_loss: 0.1854 - val_categorical_accuracy: 0.9562 - 843ms/epoch - 6ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.1967 - val_categorical_accuracy: 0.9545 - 1s/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.1908 - val_categorical_accuracy: 0.9552 - 886ms/epoch - 6ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.2244 - val_categorical_accuracy: 0.9475 - 822ms/epoch - 6ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.2116 - val_categorical_accuracy: 0.9514 - 877ms/epoch - 6ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1959 - val_categorical_accuracy: 0.9551 - 893ms/epoch - 6ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.3814 - val_categorical_accuracy: 0.9131 - 836ms/epoch - 6ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9760 - val_loss: 0.1879 - val_categorical_accuracy: 0.9546 - 905ms/epoch - 6ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9834 - val_loss: 0.1836 - val_categorical_accuracy: 0.9568 - 929ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9827 - val_loss: 0.1913 - val_categorical_accuracy: 0.9550 - 826ms/epoch - 6ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9815 - val_loss: 0.2121 - val_categorical_accuracy: 0.9471 - 893ms/epoch - 6ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9820 - val_loss: 0.1959 - val_categorical_accuracy: 0.9537 - 944ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1995 - val_categorical_accuracy: 0.9538 - 825ms/epoch - 6ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9762 - val_loss: 0.2146 - val_categorical_accuracy: 0.9463 - 868ms/epoch - 6ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9837 - val_loss: 0.2093 - val_categorical_accuracy: 0.9476 - 965ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9815 - val_loss: 0.2049 - val_categorical_accuracy: 0.9514 - 862ms/epoch - 6ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.2018 - val_categorical_accuracy: 0.9541 - 865ms/epoch - 6ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9827 - val_loss: 0.2132 - val_categorical_accuracy: 0.9505 - 996ms/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9816 - val_loss: 0.2001 - val_categorical_accuracy: 0.9518 - 825ms/epoch - 6ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9823 - val_loss: 0.1878 - val_categorical_accuracy: 0.9564 - 868ms/epoch - 6ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.1983 - val_categorical_accuracy: 0.9547 - 970ms/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9834 - val_loss: 0.2031 - val_categorical_accuracy: 0.9502 - 867ms/epoch - 6ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9836 - val_loss: 0.2073 - val_categorical_accuracy: 0.9524 - 868ms/epoch - 6ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9827 - val_loss: 0.2026 - val_categorical_accuracy: 0.9543 - 943ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9762 - val_loss: 0.2372 - val_categorical_accuracy: 0.9332 - 836ms/epoch - 6ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9816 - val_loss: 0.1796 - val_categorical_accuracy: 0.9591 - 922ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.1841 - val_categorical_accuracy: 0.9578 - 872ms/epoch - 6ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9836 - val_loss: 0.1897 - val_categorical_accuracy: 0.9559 - 838ms/epoch - 6ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9815 - val_loss: 0.1843 - val_categorical_accuracy: 0.9571 - 876ms/epoch - 6ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9834 - val_loss: 0.1882 - val_categorical_accuracy: 0.9571 - 852ms/epoch - 6ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1975 - val_categorical_accuracy: 0.9556 - 843ms/epoch - 6ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9740 - val_loss: 0.2016 - val_categorical_accuracy: 0.9474 - 952ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1994 - val_categorical_accuracy: 0.9521 - 854ms/epoch - 6ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1841 - val_categorical_accuracy: 0.9577 - 923ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.2013 - val_categorical_accuracy: 0.9534 - 885ms/epoch - 6ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.1940 - val_categorical_accuracy: 0.9563 - 830ms/epoch - 6ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9677 - val_loss: 0.1864 - val_categorical_accuracy: 0.9537 - 909ms/epoch - 6ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.1847 - val_categorical_accuracy: 0.9567 - 903ms/epoch - 6ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1930 - val_categorical_accuracy: 0.9557 - 837ms/epoch - 6ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1957 - val_categorical_accuracy: 0.9556 - 921ms/epoch - 7ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.2003 - val_categorical_accuracy: 0.9548 - 849ms/epoch - 6ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9769 - val_loss: 0.2328 - val_categorical_accuracy: 0.9279 - 838ms/epoch - 6ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9816 - val_loss: 0.1856 - val_categorical_accuracy: 0.9574 - 986ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.1938 - val_categorical_accuracy: 0.9555 - 898ms/epoch - 6ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.1948 - val_categorical_accuracy: 0.9554 - 844ms/epoch - 6ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1891 - val_categorical_accuracy: 0.9560 - 932ms/epoch - 7ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.2103 - val_categorical_accuracy: 0.9508 - 889ms/epoch - 6ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9839 - val_loss: 0.1914 - val_categorical_accuracy: 0.9586 - 838ms/epoch - 6ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9830 - val_loss: 0.2106 - val_categorical_accuracy: 0.9517 - 912ms/epoch - 6ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9831 - val_loss: 0.2016 - val_categorical_accuracy: 0.9547 - 853ms/epoch - 6ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1922 - val_categorical_accuracy: 0.9559 - 825ms/epoch - 6ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1930 - val_categorical_accuracy: 0.9589 - 964ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9787 - val_loss: 0.2106 - val_categorical_accuracy: 0.9514 - 851ms/epoch - 6ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9834 - val_loss: 0.1842 - val_categorical_accuracy: 0.9569 - 913ms/epoch - 6ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9840 - val_loss: 0.2025 - val_categorical_accuracy: 0.9545 - 969ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.2002 - val_categorical_accuracy: 0.9560 - 840ms/epoch - 6ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1936 - val_categorical_accuracy: 0.9568 - 850ms/epoch - 6ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9837 - val_loss: 0.2042 - val_categorical_accuracy: 0.9540 - 942ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9798 - val_loss: 0.1950 - val_categorical_accuracy: 0.9554 - 818ms/epoch - 6ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2044 - val_categorical_accuracy: 0.9550 - 901ms/epoch - 6ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9837 - val_loss: 0.2007 - val_categorical_accuracy: 0.9539 - 943ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9814 - val_loss: 1.0218 - val_categorical_accuracy: 0.8073 - 840ms/epoch - 6ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9715 - val_loss: 0.1865 - val_categorical_accuracy: 0.9566 - 894ms/epoch - 6ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.1863 - val_categorical_accuracy: 0.9571 - 970ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.1837 - val_categorical_accuracy: 0.9596 - 849ms/epoch - 6ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1949 - val_categorical_accuracy: 0.9551 - 885ms/epoch - 6ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.2048 - val_categorical_accuracy: 0.9546 - 964ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1891 - val_categorical_accuracy: 0.9595 - 842ms/epoch - 6ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9784 - val_loss: 0.2060 - val_categorical_accuracy: 0.9493 - 846ms/epoch - 6ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.2030 - val_categorical_accuracy: 0.9526 - 1s/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2007 - val_categorical_accuracy: 0.9544 - 834ms/epoch - 6ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.1947 - val_categorical_accuracy: 0.9564 - 834ms/epoch - 6ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.2021 - val_categorical_accuracy: 0.9556 - 1s/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.1941 - val_categorical_accuracy: 0.9576 - 845ms/epoch - 6ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.1954 - val_categorical_accuracy: 0.9582 - 853ms/epoch - 6ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1874 - val_categorical_accuracy: 0.9591 - 965ms/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.2043 - val_categorical_accuracy: 0.9546 - 833ms/epoch - 6ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9779 - val_loss: 0.1970 - val_categorical_accuracy: 0.9543 - 861ms/epoch - 6ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.2224 - val_categorical_accuracy: 0.9469 - 944ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9810 - val_loss: 1.8430 - val_categorical_accuracy: 0.7143 - 852ms/epoch - 6ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.1369 - categorical_accuracy: 0.9602 - val_loss: 0.1801 - val_categorical_accuracy: 0.9566 - 897ms/epoch - 6ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.1836 - val_categorical_accuracy: 0.9573 - 888ms/epoch - 6ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1900 - val_categorical_accuracy: 0.9567 - 838ms/epoch - 6ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.1933 - val_categorical_accuracy: 0.9580 - 1s/epoch - 8ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.2065 - val_categorical_accuracy: 0.9559 - 964ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.2021 - val_categorical_accuracy: 0.9548 - 827ms/epoch - 6ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1881 - val_categorical_accuracy: 0.9572 - 868ms/epoch - 6ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1949 - val_categorical_accuracy: 0.9570 - 965ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9845 - val_loss: 0.2019 - val_categorical_accuracy: 0.9563 - 835ms/epoch - 6ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.2145 - val_categorical_accuracy: 0.9515 - 857ms/epoch - 6ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.1932 - val_categorical_accuracy: 0.9575 - 935ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2002 - val_categorical_accuracy: 0.9553 - 856ms/epoch - 6ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.2045 - val_categorical_accuracy: 0.9542 - 915ms/epoch - 6ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9845 - val_loss: 0.2130 - val_categorical_accuracy: 0.9507 - 979ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.2034 - val_categorical_accuracy: 0.9546 - 846ms/epoch - 6ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.2101 - val_categorical_accuracy: 0.9548 - 865ms/epoch - 6ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9836 - val_loss: 0.2143 - val_categorical_accuracy: 0.9529 - 942ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2084 - val_categorical_accuracy: 0.9557 - 826ms/epoch - 6ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.2019 - val_categorical_accuracy: 0.9558 - 925ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.2244 - val_categorical_accuracy: 0.9502 - 901ms/epoch - 6ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.1365 - categorical_accuracy: 0.9619 - val_loss: 0.1872 - val_categorical_accuracy: 0.9553 - 829ms/epoch - 6ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2063 - val_categorical_accuracy: 0.9526 - 904ms/epoch - 6ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1891 - val_categorical_accuracy: 0.9579 - 949ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9805 - val_loss: 0.2206 - val_categorical_accuracy: 0.9474 - 848ms/epoch - 6ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1952 - val_categorical_accuracy: 0.9558 - 903ms/epoch - 6ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.1918 - val_categorical_accuracy: 0.9581 - 945ms/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9845 - val_loss: 0.4729 - val_categorical_accuracy: 0.8946 - 843ms/epoch - 6ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9806 - val_loss: 0.1969 - val_categorical_accuracy: 0.9539 - 865ms/epoch - 6ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1964 - val_categorical_accuracy: 0.9563 - 965ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1999 - val_categorical_accuracy: 0.9553 - 835ms/epoch - 6ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.2031 - val_categorical_accuracy: 0.9561 - 890ms/epoch - 6ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9831 - val_loss: 0.5053 - val_categorical_accuracy: 0.8969 - 924ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9738 - val_loss: 0.1928 - val_categorical_accuracy: 0.9562 - 851ms/epoch - 6ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.1953 - val_categorical_accuracy: 0.9558 - 914ms/epoch - 6ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2010 - val_categorical_accuracy: 0.9536 - 917ms/epoch - 7ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.1881 - val_categorical_accuracy: 0.9591 - 844ms/epoch - 6ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2070 - val_categorical_accuracy: 0.9530 - 922ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9846 - val_loss: 0.2264 - val_categorical_accuracy: 0.9511 - 878ms/epoch - 6ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9811 - val_loss: 2.1296 - val_categorical_accuracy: 0.6413 - 831ms/epoch - 6ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9688 - val_loss: 0.1945 - val_categorical_accuracy: 0.9544 - 942ms/epoch - 7ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.2017 - val_categorical_accuracy: 0.9531 - 918ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1899 - val_categorical_accuracy: 0.9572 - 827ms/epoch - 6ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.2684 - val_categorical_accuracy: 0.9453 - 898ms/epoch - 6ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9840 - val_loss: 0.1907 - val_categorical_accuracy: 0.9580 - 923ms/epoch - 7ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1943 - val_categorical_accuracy: 0.9565 - 840ms/epoch - 6ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.2112 - val_categorical_accuracy: 0.9512 - 915ms/epoch - 6ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2209 - val_categorical_accuracy: 0.9512 - 901ms/epoch - 6ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2014 - val_categorical_accuracy: 0.9557 - 838ms/epoch - 6ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.2013 - val_categorical_accuracy: 0.9560 - 936ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9855 - val_loss: 0.1905 - val_categorical_accuracy: 0.9579 - 856ms/epoch - 6ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.1998 - val_categorical_accuracy: 0.9571 - 869ms/epoch - 6ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.2389 - val_categorical_accuracy: 0.9450 - 968ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9742 - val_loss: 0.1934 - val_categorical_accuracy: 0.9572 - 841ms/epoch - 6ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1885 - val_categorical_accuracy: 0.9579 - 849ms/epoch - 6ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2113 - val_categorical_accuracy: 0.9553 - 961ms/epoch - 7ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.1915 - val_categorical_accuracy: 0.9575 - 819ms/epoch - 6ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2073 - val_categorical_accuracy: 0.9553 - 851ms/epoch - 6ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.2056 - val_categorical_accuracy: 0.9563 - 958ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9784 - val_loss: 0.1977 - val_categorical_accuracy: 0.9530 - 844ms/epoch - 6ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1964 - val_categorical_accuracy: 0.9551 - 887ms/epoch - 6ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1922 - val_categorical_accuracy: 0.9572 - 889ms/epoch - 6ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.2061 - val_categorical_accuracy: 0.9546 - 840ms/epoch - 6ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2070 - val_categorical_accuracy: 0.9545 - 924ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2050 - val_categorical_accuracy: 0.9539 - 903ms/epoch - 6ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.2056 - val_categorical_accuracy: 0.9572 - 840ms/epoch - 6ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.2375 - val_categorical_accuracy: 0.9507 - 912ms/epoch - 6ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9835 - val_loss: 0.2290 - val_categorical_accuracy: 0.9485 - 937ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.2031 - val_categorical_accuracy: 0.9565 - 843ms/epoch - 6ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9849 - val_loss: 0.2350 - val_categorical_accuracy: 0.9485 - 885ms/epoch - 6ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2108 - val_categorical_accuracy: 0.9549 - 929ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.2011 - val_categorical_accuracy: 0.9569 - 843ms/epoch - 6ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2025 - val_categorical_accuracy: 0.9546 - 915ms/epoch - 6ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.2179 - val_categorical_accuracy: 0.9516 - 888ms/epoch - 6ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9836 - val_loss: 0.2142 - val_categorical_accuracy: 0.9520 - 827ms/epoch - 6ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.2065 - val_categorical_accuracy: 0.9553 - 897ms/epoch - 6ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.2779 - val_categorical_accuracy: 0.9380 - 898ms/epoch - 6ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9806 - val_loss: 0.2019 - val_categorical_accuracy: 0.9543 - 839ms/epoch - 6ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2153 - val_categorical_accuracy: 0.9546 - 912ms/epoch - 6ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.2043 - val_categorical_accuracy: 0.9549 - 916ms/epoch - 6ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2157 - val_categorical_accuracy: 0.9543 - 839ms/epoch - 6ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9790 - val_loss: 0.2215 - val_categorical_accuracy: 0.9503 - 916ms/epoch - 6ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.2137 - val_categorical_accuracy: 0.9520 - 875ms/epoch - 6ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9843 - val_loss: 0.2080 - val_categorical_accuracy: 0.9563 - 847ms/epoch - 6ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9851 - val_loss: 0.2215 - val_categorical_accuracy: 0.9497 - 916ms/epoch - 6ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.2007 - val_categorical_accuracy: 0.9573 - 840ms/epoch - 6ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.2138 - val_categorical_accuracy: 0.9538 - 873ms/epoch - 6ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2278 - val_categorical_accuracy: 0.9504 - 975ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2044 - val_categorical_accuracy: 0.9566 - 846ms/epoch - 6ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.2088 - val_categorical_accuracy: 0.9544 - 842ms/epoch - 6ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.2011 - val_categorical_accuracy: 0.9559 - 1s/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9843 - val_loss: 0.2298 - val_categorical_accuracy: 0.9498 - 841ms/epoch - 6ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.2162 - val_categorical_accuracy: 0.9516 - 835ms/epoch - 6ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9851 - val_loss: 0.2128 - val_categorical_accuracy: 0.9542 - 932ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9855 - val_loss: 0.2106 - val_categorical_accuracy: 0.9557 - 832ms/epoch - 6ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.2533 - val_categorical_accuracy: 0.9440 - 902ms/epoch - 6ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2050 - val_categorical_accuracy: 0.9554 - 906ms/epoch - 6ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2031 - val_categorical_accuracy: 0.9571 - 854ms/epoch - 6ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.2061 - val_categorical_accuracy: 0.9568 - 901ms/epoch - 6ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9855 - val_loss: 0.2092 - val_categorical_accuracy: 0.9561 - 900ms/epoch - 6ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.2248 - val_categorical_accuracy: 0.9523 - 835ms/epoch - 6ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.2196 - val_categorical_accuracy: 0.9520 - 875ms/epoch - 6ms/step
Epoch 581/1500
Epoch 582/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9848 - val_loss: 0.1997 - val_categorical_accuracy: 0.9558 - 836ms/epoch - 6ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.2281 - val_categorical_accuracy: 0.9523 - 917ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2011 - val_categorical_accuracy: 0.9579 - 880ms/epoch - 6ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2144 - val_categorical_accuracy: 0.9562 - 841ms/epoch - 6ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1957 - val_categorical_accuracy: 0.9567 - 906ms/epoch - 6ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.2269 - val_categorical_accuracy: 0.9522 - 846ms/epoch - 6ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2033 - val_categorical_accuracy: 0.9587 - 807ms/epoch - 6ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.2111 - val_categorical_accuracy: 0.9549 - 967ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2130 - val_categorical_accuracy: 0.9556 - 853ms/epoch - 6ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.2243 - val_categorical_accuracy: 0.9535 - 878ms/epoch - 6ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2049 - val_categorical_accuracy: 0.9565 - 923ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9847 - val_loss: 0.2090 - val_categorical_accuracy: 0.9539 - 843ms/epoch - 6ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2232 - val_categorical_accuracy: 0.9533 - 899ms/epoch - 6ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9772 - val_loss: 0.1978 - val_categorical_accuracy: 0.9570 - 925ms/epoch - 7ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2040 - val_categorical_accuracy: 0.9558 - 811ms/epoch - 6ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2135 - val_categorical_accuracy: 0.9544 - 924ms/epoch - 7ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9836 - val_loss: 0.2531 - val_categorical_accuracy: 0.9430 - 915ms/epoch - 6ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.2122 - val_categorical_accuracy: 0.9563 - 826ms/epoch - 6ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.2039 - val_categorical_accuracy: 0.9576 - 898ms/epoch - 6ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2054 - val_categorical_accuracy: 0.9572 - 1s/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9858 - val_loss: 0.2137 - val_categorical_accuracy: 0.9581 - 845ms/epoch - 6ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2032 - val_categorical_accuracy: 0.9574 - 875ms/epoch - 6ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9855 - val_loss: 0.2005 - val_categorical_accuracy: 0.9589 - 994ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2241 - val_categorical_accuracy: 0.9547 - 902ms/epoch - 6ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.2070 - val_categorical_accuracy: 0.9582 - 841ms/epoch - 6ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2211 - val_categorical_accuracy: 0.9551 - 910ms/epoch - 6ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.2107 - val_categorical_accuracy: 0.9571 - 960ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9722 - val_loss: 0.2077 - val_categorical_accuracy: 0.9452 - 841ms/epoch - 6ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9829 - val_loss: 0.2478 - val_categorical_accuracy: 0.9437 - 839ms/epoch - 6ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2366 - val_categorical_accuracy: 0.9453 - 971ms/epoch - 7ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.1970 - val_categorical_accuracy: 0.9575 - 824ms/epoch - 6ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2082 - val_categorical_accuracy: 0.9569 - 848ms/epoch - 6ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2114 - val_categorical_accuracy: 0.9547 - 974ms/epoch - 7ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2041 - val_categorical_accuracy: 0.9590 - 838ms/epoch - 6ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2066 - val_categorical_accuracy: 0.9582 - 821ms/epoch - 6ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2219 - val_categorical_accuracy: 0.9539 - 994ms/epoch - 7ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2061 - val_categorical_accuracy: 0.9576 - 833ms/epoch - 6ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2076 - val_categorical_accuracy: 0.9569 - 845ms/epoch - 6ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.2215 - val_categorical_accuracy: 0.9509 - 1s/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2157 - val_categorical_accuracy: 0.9567 - 896ms/epoch - 6ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9783 - val_loss: 0.2129 - val_categorical_accuracy: 0.9498 - 862ms/epoch - 6ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.2073 - val_categorical_accuracy: 0.9535 - 921ms/epoch - 7ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2074 - val_categorical_accuracy: 0.9562 - 823ms/epoch - 6ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2148 - val_categorical_accuracy: 0.9540 - 834ms/epoch - 6ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2077 - val_categorical_accuracy: 0.9563 - 936ms/epoch - 7ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.2360 - val_categorical_accuracy: 0.9504 - 845ms/epoch - 6ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2113 - val_categorical_accuracy: 0.9558 - 902ms/epoch - 6ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2053 - val_categorical_accuracy: 0.9587 - 891ms/epoch - 6ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.2291 - val_categorical_accuracy: 0.9532 - 852ms/epoch - 6ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0897 - categorical_accuracy: 0.9738 - val_loss: 0.1958 - val_categorical_accuracy: 0.9539 - 929ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2051 - val_categorical_accuracy: 0.9555 - 834ms/epoch - 6ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.1994 - val_categorical_accuracy: 0.9577 - 856ms/epoch - 6ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2064 - val_categorical_accuracy: 0.9565 - 925ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2043 - val_categorical_accuracy: 0.9578 - 821ms/epoch - 6ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.2174 - val_categorical_accuracy: 0.9554 - 905ms/epoch - 6ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2132 - val_categorical_accuracy: 0.9570 - 961ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9844 - val_loss: 0.2576 - val_categorical_accuracy: 0.9443 - 845ms/epoch - 6ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9793 - val_loss: 0.2076 - val_categorical_accuracy: 0.9552 - 868ms/epoch - 6ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2056 - val_categorical_accuracy: 0.9581 - 949ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.2009 - val_categorical_accuracy: 0.9584 - 844ms/epoch - 6ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2173 - val_categorical_accuracy: 0.9543 - 881ms/epoch - 6ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0709 - categorical_accuracy: 0.9778 - val_loss: 0.2024 - val_categorical_accuracy: 0.9512 - 917ms/epoch - 7ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.2000 - val_categorical_accuracy: 0.9553 - 844ms/epoch - 6ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2032 - val_categorical_accuracy: 0.9568 - 898ms/epoch - 6ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2061 - val_categorical_accuracy: 0.9581 - 917ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2079 - val_categorical_accuracy: 0.9585 - 858ms/epoch - 6ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.2084 - val_categorical_accuracy: 0.9558 - 924ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2065 - val_categorical_accuracy: 0.9549 - 888ms/epoch - 6ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9863 - val_loss: 0.2106 - val_categorical_accuracy: 0.9555 - 836ms/epoch - 6ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.2165 - val_categorical_accuracy: 0.9550 - 894ms/epoch - 6ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2181 - val_categorical_accuracy: 0.9563 - 883ms/epoch - 6ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2268 - val_categorical_accuracy: 0.9519 - 838ms/epoch - 6ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2170 - val_categorical_accuracy: 0.9582 - 960ms/epoch - 7ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2063 - val_categorical_accuracy: 0.9583 - 884ms/epoch - 6ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2145 - val_categorical_accuracy: 0.9555 - 847ms/epoch - 6ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2310 - val_categorical_accuracy: 0.9520 - 899ms/epoch - 6ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.2076 - val_categorical_accuracy: 0.9579 - 912ms/epoch - 6ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2091 - val_categorical_accuracy: 0.9573 - 813ms/epoch - 6ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2355 - val_categorical_accuracy: 0.9526 - 920ms/epoch - 7ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2319 - val_categorical_accuracy: 0.9554 - 893ms/epoch - 6ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9860 - val_loss: 0.2246 - val_categorical_accuracy: 0.9531 - 835ms/epoch - 6ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.1117 - categorical_accuracy: 0.9687 - val_loss: 0.2057 - val_categorical_accuracy: 0.9535 - 916ms/epoch - 6ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.2009 - val_categorical_accuracy: 0.9573 - 847ms/epoch - 6ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2128 - val_categorical_accuracy: 0.9555 - 872ms/epoch - 6ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2105 - val_categorical_accuracy: 0.9571 - 981ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2353 - val_categorical_accuracy: 0.9515 - 825ms/epoch - 6ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2140 - val_categorical_accuracy: 0.9573 - 845ms/epoch - 6ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.2085 - val_categorical_accuracy: 0.9581 - 943ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2277 - val_categorical_accuracy: 0.9515 - 826ms/epoch - 6ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9858 - val_loss: 0.2113 - val_categorical_accuracy: 0.9587 - 828ms/epoch - 6ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2350 - val_categorical_accuracy: 0.9525 - 982ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9860 - val_loss: 0.2139 - val_categorical_accuracy: 0.9592 - 846ms/epoch - 6ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2121 - val_categorical_accuracy: 0.9573 - 853ms/epoch - 6ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.2237 - val_categorical_accuracy: 0.9516 - 929ms/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2479 - val_categorical_accuracy: 0.9474 - 836ms/epoch - 6ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9728 - val_loss: 0.2164 - val_categorical_accuracy: 0.9537 - 858ms/epoch - 6ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.2315 - val_categorical_accuracy: 0.9494 - 940ms/epoch - 7ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2096 - val_categorical_accuracy: 0.9570 - 839ms/epoch - 6ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2058 - val_categorical_accuracy: 0.9589 - 906ms/epoch - 6ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2196 - val_categorical_accuracy: 0.9556 - 904ms/epoch - 6ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2041 - val_categorical_accuracy: 0.9582 - 850ms/epoch - 6ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2151 - val_categorical_accuracy: 0.9574 - 950ms/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2063 - val_categorical_accuracy: 0.9578 - 895ms/epoch - 6ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2605 - val_categorical_accuracy: 0.9512 - 820ms/epoch - 6ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9768 - val_loss: 0.2052 - val_categorical_accuracy: 0.9583 - 926ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.2067 - val_categorical_accuracy: 0.9574 - 871ms/epoch - 6ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.2097 - val_categorical_accuracy: 0.9562 - 836ms/epoch - 6ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2126 - val_categorical_accuracy: 0.9564 - 933ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2133 - val_categorical_accuracy: 0.9563 - 852ms/epoch - 6ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2439 - val_categorical_accuracy: 0.9505 - 828ms/epoch - 6ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2241 - val_categorical_accuracy: 0.9554 - 932ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2344 - val_categorical_accuracy: 0.9538 - 838ms/epoch - 6ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2092 - val_categorical_accuracy: 0.9593 - 885ms/epoch - 6ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9866 - val_loss: 0.2210 - val_categorical_accuracy: 0.9563 - 911ms/epoch - 6ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.2204 - val_categorical_accuracy: 0.9557 - 840ms/epoch - 6ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2166 - val_categorical_accuracy: 0.9571 - 903ms/epoch - 6ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9788 - val_loss: 0.2591 - val_categorical_accuracy: 0.9273 - 916ms/epoch - 6ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9829 - val_loss: 0.2044 - val_categorical_accuracy: 0.9580 - 833ms/epoch - 6ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2106 - val_categorical_accuracy: 0.9565 - 898ms/epoch - 6ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2097 - val_categorical_accuracy: 0.9577 - 901ms/epoch - 6ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2138 - val_categorical_accuracy: 0.9573 - 819ms/epoch - 6ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9864 - val_loss: 0.2260 - val_categorical_accuracy: 0.9553 - 890ms/epoch - 6ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2166 - val_categorical_accuracy: 0.9574 - 999ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2243 - val_categorical_accuracy: 0.9570 - 834ms/epoch - 6ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.2241 - val_categorical_accuracy: 0.9579 - 842ms/epoch - 6ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9855 - val_loss: 0.2274 - val_categorical_accuracy: 0.9524 - 997ms/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2203 - val_categorical_accuracy: 0.9557 - 888ms/epoch - 6ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9864 - val_loss: 0.2144 - val_categorical_accuracy: 0.9590 - 847ms/epoch - 6ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2222 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.2202 - val_categorical_accuracy: 0.9560 - 979ms/epoch - 7ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2185 - val_categorical_accuracy: 0.9583 - 826ms/epoch - 6ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2168 - val_categorical_accuracy: 0.9574 - 836ms/epoch - 6ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9723 - val_loss: 0.2089 - val_categorical_accuracy: 0.9474 - 950ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.2079 - val_categorical_accuracy: 0.9574 - 826ms/epoch - 6ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2131 - val_categorical_accuracy: 0.9563 - 884ms/epoch - 6ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2202 - val_categorical_accuracy: 0.9538 - 899ms/epoch - 6ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2269 - val_categorical_accuracy: 0.9535 - 851ms/epoch - 6ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2099 - val_categorical_accuracy: 0.9595 - 922ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2227 - val_categorical_accuracy: 0.9549 - 907ms/epoch - 6ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2198 - val_categorical_accuracy: 0.9564 - 849ms/epoch - 6ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2305 - val_categorical_accuracy: 0.9540 - 912ms/epoch - 6ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.2229 - val_categorical_accuracy: 0.9577 - 903ms/epoch - 6ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9784 - val_loss: 0.2119 - val_categorical_accuracy: 0.9540 - 837ms/epoch - 6ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2133 - val_categorical_accuracy: 0.9563 - 899ms/epoch - 6ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2055 - val_categorical_accuracy: 0.9587 - 898ms/epoch - 6ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2106 - val_categorical_accuracy: 0.9584 - 821ms/epoch - 6ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.2234 - val_categorical_accuracy: 0.9575 - 936ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2205 - val_categorical_accuracy: 0.9541 - 841ms/epoch - 6ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2304 - val_categorical_accuracy: 0.9563 - 843ms/epoch - 6ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.2145 - val_categorical_accuracy: 0.9572 - 1s/epoch - 7ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9857 - val_loss: 0.2227 - val_categorical_accuracy: 0.9557 - 946ms/epoch - 7ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2153 - val_categorical_accuracy: 0.9576 - 871ms/epoch - 6ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2445 - val_categorical_accuracy: 0.9509 - 889ms/epoch - 6ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9796 - val_loss: 0.2073 - val_categorical_accuracy: 0.9568 - 908ms/epoch - 6ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2117 - val_categorical_accuracy: 0.9566 - 850ms/epoch - 6ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2241 - val_categorical_accuracy: 0.9548 - 905ms/epoch - 6ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2117 - val_categorical_accuracy: 0.9578 - 898ms/epoch - 6ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2221 - val_categorical_accuracy: 0.9569 - 855ms/epoch - 6ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2181 - val_categorical_accuracy: 0.9584 - 926ms/epoch - 7ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2259 - val_categorical_accuracy: 0.9537 - 847ms/epoch - 6ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2511 - val_categorical_accuracy: 0.9479 - 844ms/epoch - 6ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0979 - categorical_accuracy: 0.9729 - val_loss: 0.2493 - val_categorical_accuracy: 0.9262 - 988ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9817 - val_loss: 0.2043 - val_categorical_accuracy: 0.9568 - 839ms/epoch - 6ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9864 - val_loss: 0.2148 - val_categorical_accuracy: 0.9559 - 834ms/epoch - 6ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2113 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2102 - val_categorical_accuracy: 0.9593 - 821ms/epoch - 6ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2248 - val_categorical_accuracy: 0.9555 - 876ms/epoch - 6ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2067 - val_categorical_accuracy: 0.9585 - 890ms/epoch - 6ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2125 - val_categorical_accuracy: 0.9575 - 851ms/epoch - 6ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2267 - val_categorical_accuracy: 0.9564 - 925ms/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2952 - val_categorical_accuracy: 0.9368 - 841ms/epoch - 6ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2120 - val_categorical_accuracy: 0.9591 - 835ms/epoch - 6ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2363 - val_categorical_accuracy: 0.9537 - 1s/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9829 - val_loss: 0.2176 - val_categorical_accuracy: 0.9552 - 834ms/epoch - 6ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.2524 - val_categorical_accuracy: 0.9468 - 849ms/epoch - 6ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.2143 - val_categorical_accuracy: 0.9587 - 963ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2198 - val_categorical_accuracy: 0.9565 - 833ms/epoch - 6ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2117 - val_categorical_accuracy: 0.9589 - 884ms/epoch - 6ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2149 - val_categorical_accuracy: 0.9573 - 992ms/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2347 - val_categorical_accuracy: 0.9568 - 842ms/epoch - 6ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.2195 - val_categorical_accuracy: 0.9568 - 836ms/epoch - 6ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2257 - val_categorical_accuracy: 0.9573 - 919ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2227 - val_categorical_accuracy: 0.9580 - 844ms/epoch - 6ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2336 - val_categorical_accuracy: 0.9516 - 890ms/epoch - 6ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2228 - val_categorical_accuracy: 0.9566 - 817ms/epoch - 6ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2348 - val_categorical_accuracy: 0.9566 - 853ms/epoch - 6ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2287 - val_categorical_accuracy: 0.9567 - 986ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.4091 - val_categorical_accuracy: 0.9139 - 841ms/epoch - 6ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9818 - val_loss: 0.2158 - val_categorical_accuracy: 0.9543 - 826ms/epoch - 6ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2186 - val_categorical_accuracy: 0.9585 - 924ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.2214 - val_categorical_accuracy: 0.9545 - 832ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2390 - val_categorical_accuracy: 0.9533 - 911ms/epoch - 6ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2276 - val_categorical_accuracy: 0.9567 - 881ms/epoch - 6ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2292 - val_categorical_accuracy: 0.9558 - 852ms/epoch - 6ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2264 - val_categorical_accuracy: 0.9563 - 903ms/epoch - 6ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2196 - val_categorical_accuracy: 0.9568 - 906ms/epoch - 6ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.2142 - val_categorical_accuracy: 0.9588 - 844ms/epoch - 6ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0896 - categorical_accuracy: 0.9748 - val_loss: 0.2284 - val_categorical_accuracy: 0.9475 - 932ms/epoch - 7ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2103 - val_categorical_accuracy: 0.9576 - 894ms/epoch - 6ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2217 - val_categorical_accuracy: 0.9520 - 822ms/epoch - 6ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2103 - val_categorical_accuracy: 0.9581 - 910ms/epoch - 6ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2187 - val_categorical_accuracy: 0.9570 - 910ms/epoch - 6ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2116 - val_categorical_accuracy: 0.9595 - 831ms/epoch - 6ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2133 - val_categorical_accuracy: 0.9590 - 913ms/epoch - 6ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2394 - val_categorical_accuracy: 0.9518 - 909ms/epoch - 6ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9832 - val_loss: 0.2172 - val_categorical_accuracy: 0.9533 - 826ms/epoch - 6ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2138 - val_categorical_accuracy: 0.9592 - 905ms/epoch - 6ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2268 - val_categorical_accuracy: 0.9561 - 923ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2552 - val_categorical_accuracy: 0.9540 - 829ms/epoch - 6ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9869 - val_loss: 0.2243 - val_categorical_accuracy: 0.9562 - 918ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2294 - val_categorical_accuracy: 0.9547 - 827ms/epoch - 6ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2161 - val_categorical_accuracy: 0.9595 - 856ms/epoch - 6ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2322 - val_categorical_accuracy: 0.9552 - 987ms/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2209 - val_categorical_accuracy: 0.9596 - 906ms/epoch - 6ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2261 - val_categorical_accuracy: 0.9579 - 856ms/epoch - 6ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2277 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2282 - val_categorical_accuracy: 0.9567 - 862ms/epoch - 6ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2245 - val_categorical_accuracy: 0.9575 - 830ms/epoch - 6ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2220 - val_categorical_accuracy: 0.9579 - 923ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9864 - val_loss: 0.2715 - val_categorical_accuracy: 0.9477 - 948ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2263 - val_categorical_accuracy: 0.9573 - 821ms/epoch - 6ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9807 - val_loss: 0.2213 - val_categorical_accuracy: 0.9547 - 892ms/epoch - 6ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2186 - val_categorical_accuracy: 0.9577 - 954ms/epoch - 7ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2309 - val_categorical_accuracy: 0.9558 - 828ms/epoch - 6ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2224 - val_categorical_accuracy: 0.9581 - 828ms/epoch - 6ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.2253 - val_categorical_accuracy: 0.9568 - 1s/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2237 - val_categorical_accuracy: 0.9564 - 895ms/epoch - 6ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2298 - val_categorical_accuracy: 0.9555 - 838ms/epoch - 6ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2281 - val_categorical_accuracy: 0.9562 - 941ms/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2490 - val_categorical_accuracy: 0.9505 - 879ms/epoch - 6ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2235 - val_categorical_accuracy: 0.9587 - 838ms/epoch - 6ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2285 - val_categorical_accuracy: 0.9584 - 924ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2386 - val_categorical_accuracy: 0.9540 - 825ms/epoch - 6ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9869 - val_loss: 0.2294 - val_categorical_accuracy: 0.9556 - 815ms/epoch - 6ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2287 - val_categorical_accuracy: 0.9562 - 941ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9850 - val_loss: 0.2327 - val_categorical_accuracy: 0.9568 - 817ms/epoch - 6ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9868 - val_loss: 0.2286 - val_categorical_accuracy: 0.9585 - 878ms/epoch - 6ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2474 - val_categorical_accuracy: 0.9537 - 947ms/epoch - 7ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9711 - val_loss: 0.2112 - val_categorical_accuracy: 0.9557 - 843ms/epoch - 6ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2317 - val_categorical_accuracy: 0.9530 - 894ms/epoch - 6ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2147 - val_categorical_accuracy: 0.9592 - 971ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2168 - val_categorical_accuracy: 0.9589 - 841ms/epoch - 6ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2282 - val_categorical_accuracy: 0.9578 - 1s/epoch - 7ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2347 - val_categorical_accuracy: 0.9528 - 986ms/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0730 - categorical_accuracy: 0.9787 - val_loss: 0.2002 - val_categorical_accuracy: 0.9571 - 821ms/epoch - 6ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2139 - val_categorical_accuracy: 0.9575 - 825ms/epoch - 6ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2144 - val_categorical_accuracy: 0.9592 - 962ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2248 - val_categorical_accuracy: 0.9571 - 824ms/epoch - 6ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2241 - val_categorical_accuracy: 0.9552 - 885ms/epoch - 6ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2106 - val_categorical_accuracy: 0.9598 - 974ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2340 - val_categorical_accuracy: 0.9551 - 834ms/epoch - 6ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2869 - val_categorical_accuracy: 0.9418 - 841ms/epoch - 6ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.2260 - val_categorical_accuracy: 0.9559 - 969ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2136 - val_categorical_accuracy: 0.9588 - 852ms/epoch - 6ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2412 - val_categorical_accuracy: 0.9536 - 888ms/epoch - 6ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2258 - val_categorical_accuracy: 0.9580 - 922ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2193 - val_categorical_accuracy: 0.9574 - 840ms/epoch - 6ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2192 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2619 - val_categorical_accuracy: 0.9463 - 926ms/epoch - 7ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2200 - val_categorical_accuracy: 0.9590 - 839ms/epoch - 6ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2251 - val_categorical_accuracy: 0.9605 - 931ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2300 - val_categorical_accuracy: 0.9564 - 892ms/epoch - 6ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2355 - val_categorical_accuracy: 0.9556 - 851ms/epoch - 6ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2254 - val_categorical_accuracy: 0.9569 - 924ms/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2344 - val_categorical_accuracy: 0.9550 - 966ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2265 - val_categorical_accuracy: 0.9582 - 855ms/epoch - 6ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2400 - val_categorical_accuracy: 0.9565 - 868ms/epoch - 6ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2389 - val_categorical_accuracy: 0.9557 - 1s/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2588 - val_categorical_accuracy: 0.9524 - 899ms/epoch - 6ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2274 - val_categorical_accuracy: 0.9592 - 846ms/epoch - 6ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2384 - val_categorical_accuracy: 0.9541 - 949ms/epoch - 7ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2283 - val_categorical_accuracy: 0.9586 - 844ms/epoch - 6ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2288 - val_categorical_accuracy: 0.9589 - 850ms/epoch - 6ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2279 - val_categorical_accuracy: 0.9579 - 954ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2356 - val_categorical_accuracy: 0.9574 - 854ms/epoch - 6ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9796 - val_loss: 0.2242 - val_categorical_accuracy: 0.9496 - 874ms/epoch - 6ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2267 - val_categorical_accuracy: 0.9532 - 933ms/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2173 - val_categorical_accuracy: 0.9572 - 835ms/epoch - 6ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2313 - val_categorical_accuracy: 0.9555 - 956ms/epoch - 7ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2221 - val_categorical_accuracy: 0.9585 - 925ms/epoch - 7ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2360 - val_categorical_accuracy: 0.9549 - 835ms/epoch - 6ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2264 - val_categorical_accuracy: 0.9594 - 927ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0865 - categorical_accuracy: 0.9758 - val_loss: 0.2362 - val_categorical_accuracy: 0.9429 - 961ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9849 - val_loss: 0.2235 - val_categorical_accuracy: 0.9552 - 853ms/epoch - 6ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2135 - val_categorical_accuracy: 0.9574 - 886ms/epoch - 6ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2165 - val_categorical_accuracy: 0.9569 - 982ms/epoch - 7ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2278 - val_categorical_accuracy: 0.9570 - 813ms/epoch - 6ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2367 - val_categorical_accuracy: 0.9547 - 861ms/epoch - 6ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2237 - val_categorical_accuracy: 0.9571 - 1s/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2264 - val_categorical_accuracy: 0.9580 - 852ms/epoch - 6ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2513 - val_categorical_accuracy: 0.9528 - 847ms/epoch - 6ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2235 - val_categorical_accuracy: 0.9585 - 937ms/epoch - 7ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2495 - val_categorical_accuracy: 0.9525 - 856ms/epoch - 6ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2346 - val_categorical_accuracy: 0.9568 - 886ms/epoch - 6ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2351 - val_categorical_accuracy: 0.9578 - 890ms/epoch - 6ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2358 - val_categorical_accuracy: 0.9563 - 860ms/epoch - 6ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2314 - val_categorical_accuracy: 0.9592 - 895ms/epoch - 6ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2306 - val_categorical_accuracy: 0.9579 - 898ms/epoch - 6ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2343 - val_categorical_accuracy: 0.9579 - 832ms/epoch - 6ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2314 - val_categorical_accuracy: 0.9579 - 922ms/epoch - 7ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2360 - val_categorical_accuracy: 0.9561 - 916ms/epoch - 6ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.2233 - val_categorical_accuracy: 0.9586 - 829ms/epoch - 6ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2543 - val_categorical_accuracy: 0.9542 - 920ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2490 - val_categorical_accuracy: 0.9513 - 959ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2320 - val_categorical_accuracy: 0.9589 - 836ms/epoch - 6ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.2300 - val_categorical_accuracy: 0.9573 - 865ms/epoch - 6ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2501 - val_categorical_accuracy: 0.9542 - 1s/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.2348 - val_categorical_accuracy: 0.9569 - 908ms/epoch - 6ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2470 - val_categorical_accuracy: 0.9551 - 850ms/epoch - 6ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2402 - val_categorical_accuracy: 0.9572 - 944ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9871 - val_loss: 0.2271 - val_categorical_accuracy: 0.9568 - 982ms/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2406 - val_categorical_accuracy: 0.9559 - 834ms/epoch - 6ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.2310 - val_categorical_accuracy: 0.9575 - 836ms/epoch - 6ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9824 - val_loss: 4.5572 - val_categorical_accuracy: 0.3239 - 964ms/epoch - 7ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.3459 - categorical_accuracy: 0.8953 - val_loss: 0.2168 - val_categorical_accuracy: 0.9434 - 814ms/epoch - 6ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9798 - val_loss: 0.2038 - val_categorical_accuracy: 0.9536 - 862ms/epoch - 6ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2161 - val_categorical_accuracy: 0.9540 - 962ms/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.1958 - val_categorical_accuracy: 0.9583 - 841ms/epoch - 6ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2068 - val_categorical_accuracy: 0.9584 - 878ms/epoch - 6ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2103 - val_categorical_accuracy: 0.9589 - 929ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2111 - val_categorical_accuracy: 0.9590 - 866ms/epoch - 6ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2221 - val_categorical_accuracy: 0.9575 - 909ms/epoch - 6ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9803 - val_loss: 0.2050 - val_categorical_accuracy: 0.9578 - 916ms/epoch - 6ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2205 - val_categorical_accuracy: 0.9558 - 845ms/epoch - 6ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2153 - val_categorical_accuracy: 0.9575 - 877ms/epoch - 6ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2263 - val_categorical_accuracy: 0.9573 - 923ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2220 - val_categorical_accuracy: 0.9566 - 840ms/epoch - 6ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2261 - val_categorical_accuracy: 0.9585 - 919ms/epoch - 7ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2146 - val_categorical_accuracy: 0.9584 - 921ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2245 - val_categorical_accuracy: 0.9585 - 833ms/epoch - 6ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2280 - val_categorical_accuracy: 0.9577 - 905ms/epoch - 6ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2347 - val_categorical_accuracy: 0.9574 - 933ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2266 - val_categorical_accuracy: 0.9585 - 833ms/epoch - 6ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2274 - val_categorical_accuracy: 0.9596 - 887ms/epoch - 6ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2433 - val_categorical_accuracy: 0.9556 - 914ms/epoch - 6ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2191 - val_categorical_accuracy: 0.9600 - 840ms/epoch - 6ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2245 - val_categorical_accuracy: 0.9596 - 907ms/epoch - 6ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2293 - val_categorical_accuracy: 0.9550 - 911ms/epoch - 6ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2380 - val_categorical_accuracy: 0.9540 - 851ms/epoch - 6ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2262 - val_categorical_accuracy: 0.9583 - 914ms/epoch - 6ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2366 - val_categorical_accuracy: 0.9567 - 912ms/epoch - 6ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2530 - val_categorical_accuracy: 0.9526 - 835ms/epoch - 6ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9793 - val_loss: 0.2112 - val_categorical_accuracy: 0.9574 - 913ms/epoch - 6ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2238 - val_categorical_accuracy: 0.9582 - 830ms/epoch - 6ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2241 - val_categorical_accuracy: 0.9573 - 848ms/epoch - 6ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2147 - val_categorical_accuracy: 0.9599 - 1000ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2190 - val_categorical_accuracy: 0.9595 - 833ms/epoch - 6ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2297 - val_categorical_accuracy: 0.9559 - 825ms/epoch - 6ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2222 - val_categorical_accuracy: 0.9578 - 949ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2257 - val_categorical_accuracy: 0.9584 - 816ms/epoch - 6ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9876 - val_loss: 0.2312 - val_categorical_accuracy: 0.9577 - 875ms/epoch - 6ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2295 - val_categorical_accuracy: 0.9573 - 943ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2304 - val_categorical_accuracy: 0.9585 - 858ms/epoch - 6ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2389 - val_categorical_accuracy: 0.9576 - 923ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9871 - val_loss: 0.2515 - val_categorical_accuracy: 0.9527 - 911ms/epoch - 6ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2235 - val_categorical_accuracy: 0.9584 - 852ms/epoch - 6ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2270 - val_categorical_accuracy: 0.9581 - 944ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2497 - val_categorical_accuracy: 0.9549 - 894ms/epoch - 6ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2509 - val_categorical_accuracy: 0.9518 - 829ms/epoch - 6ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2412 - val_categorical_accuracy: 0.9575 - 877ms/epoch - 6ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2390 - val_categorical_accuracy: 0.9581 - 833ms/epoch - 6ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2436 - val_categorical_accuracy: 0.9568 - 831ms/epoch - 6ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2329 - val_categorical_accuracy: 0.9555 - 991ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2359 - val_categorical_accuracy: 0.9576 - 853ms/epoch - 6ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2415 - val_categorical_accuracy: 0.9555 - 845ms/epoch - 6ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2394 - val_categorical_accuracy: 0.9554 - 923ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2325 - val_categorical_accuracy: 0.9601 - 859ms/epoch - 6ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2688 - val_categorical_accuracy: 0.9523 - 899ms/epoch - 6ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9874 - val_loss: 0.2352 - val_categorical_accuracy: 0.9562 - 893ms/epoch - 6ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2566 - val_categorical_accuracy: 0.9525 - 846ms/epoch - 6ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2371 - val_categorical_accuracy: 0.9568 - 926ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2391 - val_categorical_accuracy: 0.9575 - 891ms/epoch - 6ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2320 - val_categorical_accuracy: 0.9588 - 820ms/epoch - 6ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2677 - val_categorical_accuracy: 0.9523 - 919ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2374 - val_categorical_accuracy: 0.9559 - 888ms/epoch - 6ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9739 - val_loss: 0.2554 - val_categorical_accuracy: 0.9272 - 856ms/epoch - 6ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9825 - val_loss: 0.2205 - val_categorical_accuracy: 0.9558 - 918ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2287 - val_categorical_accuracy: 0.9571 - 824ms/epoch - 6ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2199 - val_categorical_accuracy: 0.9581 - 853ms/epoch - 6ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2334 - val_categorical_accuracy: 0.9564 - 950ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2283 - val_categorical_accuracy: 0.9565 - 851ms/epoch - 6ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2439 - val_categorical_accuracy: 0.9563 - 872ms/epoch - 6ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2319 - val_categorical_accuracy: 0.9559 - 1s/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2618 - val_categorical_accuracy: 0.9474 - 915ms/epoch - 6ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.3950 - val_categorical_accuracy: 0.9171 - 845ms/epoch - 6ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9837 - val_loss: 0.2255 - val_categorical_accuracy: 0.9572 - 898ms/epoch - 6ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2176 - val_categorical_accuracy: 0.9586 - 939ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2235 - val_categorical_accuracy: 0.9589 - 850ms/epoch - 6ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2186 - val_categorical_accuracy: 0.9597 - 899ms/epoch - 6ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2362 - val_categorical_accuracy: 0.9557 - 940ms/epoch - 7ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.2380 - val_categorical_accuracy: 0.9552 - 869ms/epoch - 6ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2355 - val_categorical_accuracy: 0.9568 - 882ms/epoch - 6ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2333 - val_categorical_accuracy: 0.9584 - 992ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2352 - val_categorical_accuracy: 0.9575 - 812ms/epoch - 6ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2480 - val_categorical_accuracy: 0.9546 - 862ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2377 - val_categorical_accuracy: 0.9577 - 926ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2284 - val_categorical_accuracy: 0.9586 - 856ms/epoch - 6ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2350 - val_categorical_accuracy: 0.9571 - 893ms/epoch - 6ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2312 - val_categorical_accuracy: 0.9580 - 963ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2416 - val_categorical_accuracy: 0.9555 - 848ms/epoch - 6ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.2321 - val_categorical_accuracy: 0.9571 - 891ms/epoch - 6ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2365 - val_categorical_accuracy: 0.9591 - 1s/epoch - 7ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2317 - val_categorical_accuracy: 0.9585 - 856ms/epoch - 6ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2299 - val_categorical_accuracy: 0.9591 - 837ms/epoch - 6ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9876 - val_loss: 0.2316 - val_categorical_accuracy: 0.9593 - 934ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2335 - val_categorical_accuracy: 0.9584 - 839ms/epoch - 6ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2318 - val_categorical_accuracy: 0.9600 - 884ms/epoch - 6ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2274 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2374 - val_categorical_accuracy: 0.9585 - 844ms/epoch - 6ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2296 - val_categorical_accuracy: 0.9577 - 905ms/epoch - 6ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.5291 - val_categorical_accuracy: 0.9001 - 906ms/epoch - 6ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.1419 - categorical_accuracy: 0.9620 - val_loss: 0.2092 - val_categorical_accuracy: 0.9566 - 840ms/epoch - 6ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2087 - val_categorical_accuracy: 0.9604 - 915ms/epoch - 6ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2234 - val_categorical_accuracy: 0.9579 - 916ms/epoch - 6ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2172 - val_categorical_accuracy: 0.9594 - 828ms/epoch - 6ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2343 - val_categorical_accuracy: 0.9565 - 865ms/epoch - 6ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2251 - val_categorical_accuracy: 0.9576 - 939ms/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2422 - val_categorical_accuracy: 0.9564 - 854ms/epoch - 6ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2387 - val_categorical_accuracy: 0.9558 - 903ms/epoch - 6ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2374 - val_categorical_accuracy: 0.9583 - 950ms/epoch - 7ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2341 - val_categorical_accuracy: 0.9573 - 841ms/epoch - 6ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2317 - val_categorical_accuracy: 0.9592 - 933ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2287 - val_categorical_accuracy: 0.9600 - 902ms/epoch - 6ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2405 - val_categorical_accuracy: 0.9579 - 835ms/epoch - 6ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2353 - val_categorical_accuracy: 0.9568 - 944ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2276 - val_categorical_accuracy: 0.9594 - 948ms/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2443 - val_categorical_accuracy: 0.9558 - 852ms/epoch - 6ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9874 - val_loss: 0.2337 - val_categorical_accuracy: 0.9588 - 883ms/epoch - 6ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2382 - val_categorical_accuracy: 0.9571 - 959ms/epoch - 7ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2340 - val_categorical_accuracy: 0.9568 - 842ms/epoch - 6ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2346 - val_categorical_accuracy: 0.9588 - 857ms/epoch - 6ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2492 - val_categorical_accuracy: 0.9538 - 978ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.2337 - val_categorical_accuracy: 0.9592 - 809ms/epoch - 6ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2660 - val_categorical_accuracy: 0.9511 - 855ms/epoch - 6ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.7121 - val_categorical_accuracy: 0.8765 - 942ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9805 - val_loss: 0.2243 - val_categorical_accuracy: 0.9583 - 841ms/epoch - 6ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2264 - val_categorical_accuracy: 0.9587 - 843ms/epoch - 6ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2359 - val_categorical_accuracy: 0.9573 - 1s/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2356 - val_categorical_accuracy: 0.9583 - 887ms/epoch - 6ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2500 - val_categorical_accuracy: 0.9557 - 829ms/epoch - 6ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2404 - val_categorical_accuracy: 0.9569 - 922ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2659 - val_categorical_accuracy: 0.9550 - 919ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2358 - val_categorical_accuracy: 0.9594 - 834ms/epoch - 6ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2294 - val_categorical_accuracy: 0.9595 - 876ms/epoch - 6ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2348 - val_categorical_accuracy: 0.9576 - 935ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9769 - val_loss: 0.2187 - val_categorical_accuracy: 0.9538 - 826ms/epoch - 6ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2198 - val_categorical_accuracy: 0.9574 - 862ms/epoch - 6ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2315 - val_categorical_accuracy: 0.9573 - 1s/epoch - 7ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2417 - val_categorical_accuracy: 0.9564 - 835ms/epoch - 6ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2372 - val_categorical_accuracy: 0.9580 - 860ms/epoch - 6ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2260 - val_categorical_accuracy: 0.9600 - 929ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2299 - val_categorical_accuracy: 0.9592 - 848ms/epoch - 6ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.2361 - val_categorical_accuracy: 0.9599 - 874ms/epoch - 6ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9883 - val_loss: 0.2286 - val_categorical_accuracy: 0.9588 - 928ms/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2336 - val_categorical_accuracy: 0.9588 - 839ms/epoch - 6ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2335 - val_categorical_accuracy: 0.9588 - 927ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2400 - val_categorical_accuracy: 0.9578 - 1s/epoch - 8ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.2440 - val_categorical_accuracy: 0.9567 - 996ms/epoch - 7ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2335 - val_categorical_accuracy: 0.9593 - 980ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.2700 - val_categorical_accuracy: 0.9531 - 981ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2445 - val_categorical_accuracy: 0.9567 - 1s/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2339 - val_categorical_accuracy: 0.9587 - 953ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2490 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2530 - val_categorical_accuracy: 0.9531 - 930ms/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2360 - val_categorical_accuracy: 0.9594 - 1s/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2406 - val_categorical_accuracy: 0.9588 - 970ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2413 - val_categorical_accuracy: 0.9588 - 970ms/epoch - 7ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2398 - val_categorical_accuracy: 0.9604 - 985ms/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2393 - val_categorical_accuracy: 0.9572 - 990ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9756 - val_loss: 0.2316 - val_categorical_accuracy: 0.9508 - 995ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.2224 - val_categorical_accuracy: 0.9574 - 993ms/epoch - 7ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2248 - val_categorical_accuracy: 0.9591 - 976ms/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2284 - val_categorical_accuracy: 0.9588 - 980ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2401 - val_categorical_accuracy: 0.9569 - 980ms/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2279 - val_categorical_accuracy: 0.9609 - 989ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.2408 - val_categorical_accuracy: 0.9569 - 990ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2369 - val_categorical_accuracy: 0.9575 - 980ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9883 - val_loss: 0.2365 - val_categorical_accuracy: 0.9588 - 990ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9879 - val_loss: 0.2369 - val_categorical_accuracy: 0.9585 - 980ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2396 - val_categorical_accuracy: 0.9582 - 981ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2317 - val_categorical_accuracy: 0.9601 - 980ms/epoch - 7ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2275 - val_categorical_accuracy: 0.9599 - 980ms/epoch - 7ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2362 - val_categorical_accuracy: 0.9573 - 984ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2608 - val_categorical_accuracy: 0.9551 - 990ms/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2373 - val_categorical_accuracy: 0.9585 - 960ms/epoch - 7ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2422 - val_categorical_accuracy: 0.9593 - 960ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9886 - val_loss: 0.2499 - val_categorical_accuracy: 0.9566 - 970ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9880 - val_loss: 0.2416 - val_categorical_accuracy: 0.9605 - 950ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2429 - val_categorical_accuracy: 0.9590 - 944ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2392 - val_categorical_accuracy: 0.9589 - 960ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2394 - val_categorical_accuracy: 0.9596 - 964ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2741 - val_categorical_accuracy: 0.9456 - 950ms/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2443 - val_categorical_accuracy: 0.9586 - 954ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2405 - val_categorical_accuracy: 0.9585 - 970ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2514 - val_categorical_accuracy: 0.9545 - 970ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9869 - val_loss: 0.2442 - val_categorical_accuracy: 0.9552 - 953ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2407 - val_categorical_accuracy: 0.9566 - 960ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9868 - val_loss: 1.2784 - val_categorical_accuracy: 0.8181 - 960ms/epoch - 7ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.1008 - categorical_accuracy: 0.9715 - val_loss: 0.2210 - val_categorical_accuracy: 0.9570 - 969ms/epoch - 7ms/step
Epoch 1081/1500
Epoch 1082/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2204 - val_categorical_accuracy: 0.9589 - 970ms/epoch - 7ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2301 - val_categorical_accuracy: 0.9582 - 970ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2260 - val_categorical_accuracy: 0.9594 - 978ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2452 - val_categorical_accuracy: 0.9559 - 980ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2317 - val_categorical_accuracy: 0.9589 - 980ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2504 - val_categorical_accuracy: 0.9557 - 993ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2292 - val_categorical_accuracy: 0.9608 - 990ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2327 - val_categorical_accuracy: 0.9592 - 970ms/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2407 - val_categorical_accuracy: 0.9577 - 995ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2391 - val_categorical_accuracy: 0.9586 - 990ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2387 - val_categorical_accuracy: 0.9575 - 1s/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2336 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2629 - val_categorical_accuracy: 0.9531 - 1s/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2571 - val_categorical_accuracy: 0.9564 - 990ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2690 - val_categorical_accuracy: 0.9557 - 1s/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2430 - val_categorical_accuracy: 0.9593 - 990ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2547 - val_categorical_accuracy: 0.9538 - 970ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0928 - categorical_accuracy: 0.9740 - val_loss: 0.2245 - val_categorical_accuracy: 0.9560 - 990ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2277 - val_categorical_accuracy: 0.9594 - 990ms/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2628 - val_categorical_accuracy: 0.9509 - 1s/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2491 - val_categorical_accuracy: 0.9553 - 990ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2384 - val_categorical_accuracy: 0.9574 - 986ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2350 - val_categorical_accuracy: 0.9575 - 1s/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2629 - val_categorical_accuracy: 0.9537 - 990ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2343 - val_categorical_accuracy: 0.9588 - 985ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9879 - val_loss: 0.2409 - val_categorical_accuracy: 0.9563 - 980ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2387 - val_categorical_accuracy: 0.9569 - 960ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.2501 - val_categorical_accuracy: 0.9557 - 970ms/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.2474 - val_categorical_accuracy: 0.9587 - 990ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2416 - val_categorical_accuracy: 0.9590 - 970ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2379 - val_categorical_accuracy: 0.9583 - 970ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2568 - val_categorical_accuracy: 0.9551 - 960ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2455 - val_categorical_accuracy: 0.9590 - 960ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.1136 - categorical_accuracy: 0.9686 - val_loss: 0.2182 - val_categorical_accuracy: 0.9567 - 940ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2201 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2308 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2349 - val_categorical_accuracy: 0.9589 - 970ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2291 - val_categorical_accuracy: 0.9589 - 960ms/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2322 - val_categorical_accuracy: 0.9575 - 980ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2365 - val_categorical_accuracy: 0.9593 - 950ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2621 - val_categorical_accuracy: 0.9487 - 940ms/epoch - 7ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2392 - val_categorical_accuracy: 0.9588 - 960ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2345 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2370 - val_categorical_accuracy: 0.9586 - 960ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2365 - val_categorical_accuracy: 0.9592 - 970ms/epoch - 7ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2592 - val_categorical_accuracy: 0.9553 - 963ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2453 - val_categorical_accuracy: 0.9574 - 990ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2389 - val_categorical_accuracy: 0.9594 - 970ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2328 - val_categorical_accuracy: 0.9606 - 990ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2411 - val_categorical_accuracy: 0.9580 - 990ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2586 - val_categorical_accuracy: 0.9511 - 1s/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9845 - val_loss: 0.5917 - val_categorical_accuracy: 0.8565 - 1s/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9815 - val_loss: 0.2191 - val_categorical_accuracy: 0.9590 - 990ms/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2313 - val_categorical_accuracy: 0.9559 - 1s/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2402 - val_categorical_accuracy: 0.9592 - 1s/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2294 - val_categorical_accuracy: 0.9596 - 980ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2403 - val_categorical_accuracy: 0.9539 - 980ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2234 - val_categorical_accuracy: 0.9599 - 1s/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2648 - val_categorical_accuracy: 0.9543 - 1s/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9887 - val_loss: 0.2339 - val_categorical_accuracy: 0.9601 - 980ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2566 - val_categorical_accuracy: 0.9554 - 1s/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2462 - val_categorical_accuracy: 0.9562 - 990ms/epoch - 7ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2516 - val_categorical_accuracy: 0.9553 - 990ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2532 - val_categorical_accuracy: 0.9568 - 990ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2386 - val_categorical_accuracy: 0.9594 - 990ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2387 - val_categorical_accuracy: 0.9594 - 980ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2406 - val_categorical_accuracy: 0.9600 - 990ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.2425 - val_categorical_accuracy: 0.9584 - 990ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2456 - val_categorical_accuracy: 0.9596 - 1s/epoch - 7ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2569 - val_categorical_accuracy: 0.9545 - 1s/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2375 - val_categorical_accuracy: 0.9604 - 1s/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2404 - val_categorical_accuracy: 0.9601 - 980ms/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2397 - val_categorical_accuracy: 0.9603 - 985ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2656 - val_categorical_accuracy: 0.9525 - 960ms/epoch - 7ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2384 - val_categorical_accuracy: 0.9597 - 970ms/epoch - 7ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2428 - val_categorical_accuracy: 0.9574 - 940ms/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2426 - val_categorical_accuracy: 0.9582 - 970ms/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2509 - val_categorical_accuracy: 0.9566 - 960ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2468 - val_categorical_accuracy: 0.9561 - 930ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2405 - val_categorical_accuracy: 0.9593 - 953ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2611 - val_categorical_accuracy: 0.9558 - 960ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2742 - val_categorical_accuracy: 0.9520 - 950ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2570 - val_categorical_accuracy: 0.9567 - 1s/epoch - 8ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2534 - val_categorical_accuracy: 0.9568 - 960ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2544 - val_categorical_accuracy: 0.9575 - 950ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2435 - val_categorical_accuracy: 0.9591 - 950ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2592 - val_categorical_accuracy: 0.9564 - 950ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2459 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2444 - val_categorical_accuracy: 0.9586 - 970ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2585 - val_categorical_accuracy: 0.9558 - 940ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2513 - val_categorical_accuracy: 0.9568 - 960ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2395 - val_categorical_accuracy: 0.9606 - 940ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9857 - val_loss: 1.0908 - val_categorical_accuracy: 0.8322 - 960ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9798 - val_loss: 0.2296 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2522 - val_categorical_accuracy: 0.9568 - 960ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2359 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2403 - val_categorical_accuracy: 0.9585 - 970ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2353 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.2384 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2470 - val_categorical_accuracy: 0.9580 - 970ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2677 - val_categorical_accuracy: 0.9539 - 930ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2416 - val_categorical_accuracy: 0.9575 - 950ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2457 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2612 - val_categorical_accuracy: 0.9553 - 960ms/epoch - 7ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2411 - val_categorical_accuracy: 0.9590 - 950ms/epoch - 7ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9871 - val_loss: 0.2444 - val_categorical_accuracy: 0.9571 - 950ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2652 - val_categorical_accuracy: 0.9527 - 960ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.3882 - val_categorical_accuracy: 0.9250 - 930ms/epoch - 7ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9849 - val_loss: 0.2409 - val_categorical_accuracy: 0.9587 - 980ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2388 - val_categorical_accuracy: 0.9593 - 945ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2443 - val_categorical_accuracy: 0.9599 - 970ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2491 - val_categorical_accuracy: 0.9567 - 940ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2540 - val_categorical_accuracy: 0.9584 - 970ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2369 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2377 - val_categorical_accuracy: 0.9601 - 980ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2423 - val_categorical_accuracy: 0.9586 - 950ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2889 - val_categorical_accuracy: 0.9470 - 980ms/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9858 - val_loss: 0.2388 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2518 - val_categorical_accuracy: 0.9580 - 970ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2633 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2558 - val_categorical_accuracy: 0.9550 - 980ms/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2711 - val_categorical_accuracy: 0.9524 - 954ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2502 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2407 - val_categorical_accuracy: 0.9581 - 960ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2794 - val_categorical_accuracy: 0.9487 - 930ms/epoch - 7ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9827 - val_loss: 0.2565 - val_categorical_accuracy: 0.9554 - 960ms/epoch - 7ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2412 - val_categorical_accuracy: 0.9578 - 950ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2557 - val_categorical_accuracy: 0.9553 - 970ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.2495 - val_categorical_accuracy: 0.9581 - 940ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2498 - val_categorical_accuracy: 0.9581 - 990ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2515 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2456 - val_categorical_accuracy: 0.9587 - 970ms/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2440 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2653 - val_categorical_accuracy: 0.9571 - 970ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2597 - val_categorical_accuracy: 0.9564 - 970ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2633 - val_categorical_accuracy: 0.9575 - 940ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2476 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2485 - val_categorical_accuracy: 0.9591 - 970ms/epoch - 7ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2617 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2451 - val_categorical_accuracy: 0.9595 - 990ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2580 - val_categorical_accuracy: 0.9577 - 940ms/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2581 - val_categorical_accuracy: 0.9578 - 970ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2620 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2593 - val_categorical_accuracy: 0.9586 - 950ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9794 - val_loss: 0.2484 - val_categorical_accuracy: 0.9545 - 944ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2339 - val_categorical_accuracy: 0.9589 - 974ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2491 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9865 - val_loss: 0.2409 - val_categorical_accuracy: 0.9590 - 950ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2456 - val_categorical_accuracy: 0.9593 - 950ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2502 - val_categorical_accuracy: 0.9590 - 950ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2475 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2409 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2495 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2678 - val_categorical_accuracy: 0.9554 - 970ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2483 - val_categorical_accuracy: 0.9582 - 940ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9889 - val_loss: 0.2493 - val_categorical_accuracy: 0.9590 - 970ms/epoch - 7ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2452 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2754 - val_categorical_accuracy: 0.9548 - 960ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2625 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2501 - val_categorical_accuracy: 0.9586 - 980ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2551 - val_categorical_accuracy: 0.9584 - 990ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2440 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2711 - val_categorical_accuracy: 0.9528 - 940ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9768 - val_loss: 0.2476 - val_categorical_accuracy: 0.9515 - 960ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2297 - val_categorical_accuracy: 0.9572 - 940ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2760 - val_categorical_accuracy: 0.9466 - 960ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2349 - val_categorical_accuracy: 0.9574 - 940ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2384 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2450 - val_categorical_accuracy: 0.9567 - 950ms/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2462 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2757 - val_categorical_accuracy: 0.9512 - 960ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2559 - val_categorical_accuracy: 0.9576 - 925ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2456 - val_categorical_accuracy: 0.9548 - 990ms/epoch - 7ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2395 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2453 - val_categorical_accuracy: 0.9590 - 980ms/epoch - 7ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2799 - val_categorical_accuracy: 0.9489 - 950ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2387 - val_categorical_accuracy: 0.9608 - 970ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2726 - val_categorical_accuracy: 0.9551 - 940ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2442 - val_categorical_accuracy: 0.9583 - 940ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2449 - val_categorical_accuracy: 0.9612 - 970ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2467 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2531 - val_categorical_accuracy: 0.9587 - 950ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9885 - val_loss: 0.2507 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.2699 - val_categorical_accuracy: 0.9531 - 950ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2482 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9799 - val_loss: 0.2391 - val_categorical_accuracy: 0.9499 - 960ms/epoch - 7ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2377 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2394 - val_categorical_accuracy: 0.9570 - 940ms/epoch - 7ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2422 - val_categorical_accuracy: 0.9598 - 970ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2415 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2415 - val_categorical_accuracy: 0.9605 - 950ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2502 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2602 - val_categorical_accuracy: 0.9563 - 970ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2473 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2406 - val_categorical_accuracy: 0.9615 - 950ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2506 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2615 - val_categorical_accuracy: 0.9553 - 970ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9854 - val_loss: 0.8087 - val_categorical_accuracy: 0.8165 - 930ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9802 - val_loss: 0.2379 - val_categorical_accuracy: 0.9542 - 970ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2311 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2449 - val_categorical_accuracy: 0.9565 - 970ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2502 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2455 - val_categorical_accuracy: 0.9576 - 960ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2398 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2459 - val_categorical_accuracy: 0.9598 - 950ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2388 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2428 - val_categorical_accuracy: 0.9593 - 960ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2419 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2800 - val_categorical_accuracy: 0.9512 - 1s/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2477 - val_categorical_accuracy: 0.9592 - 920ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2591 - val_categorical_accuracy: 0.9579 - 960ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2685 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2665 - val_categorical_accuracy: 0.9556 - 970ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2785 - val_categorical_accuracy: 0.9545 - 980ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9890 - val_loss: 0.2521 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2506 - val_categorical_accuracy: 0.9601 - 960ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2490 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2434 - val_categorical_accuracy: 0.9607 - 960ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2564 - val_categorical_accuracy: 0.9576 - 960ms/epoch - 7ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2659 - val_categorical_accuracy: 0.9560 - 973ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.2553 - val_categorical_accuracy: 0.9603 - 960ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2851 - val_categorical_accuracy: 0.9543 - 1s/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2555 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2509 - val_categorical_accuracy: 0.9610 - 950ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2731 - val_categorical_accuracy: 0.9569 - 940ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2566 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2709 - val_categorical_accuracy: 0.9556 - 960ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2524 - val_categorical_accuracy: 0.9607 - 940ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2644 - val_categorical_accuracy: 0.9585 - 980ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2534 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2508 - val_categorical_accuracy: 0.9595 - 980ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2880 - val_categorical_accuracy: 0.9511 - 950ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9790 - val_loss: 0.2332 - val_categorical_accuracy: 0.9583 - 970ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2412 - val_categorical_accuracy: 0.9602 - 950ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2635 - val_categorical_accuracy: 0.9570 - 980ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2503 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2464 - val_categorical_accuracy: 0.9597 - 970ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2490 - val_categorical_accuracy: 0.9601 - 950ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2566 - val_categorical_accuracy: 0.9578 - 940ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2626 - val_categorical_accuracy: 0.9586 - 960ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9795 - val_loss: 0.2351 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2357 - val_categorical_accuracy: 0.9599 - 980ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2770 - val_categorical_accuracy: 0.9538 - 940ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2438 - val_categorical_accuracy: 0.9599 - 970ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2511 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2533 - val_categorical_accuracy: 0.9587 - 940ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2570 - val_categorical_accuracy: 0.9576 - 940ms/epoch - 7ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2494 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2588 - val_categorical_accuracy: 0.9546 - 940ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2461 - val_categorical_accuracy: 0.9602 - 960ms/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2584 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2511 - val_categorical_accuracy: 0.9603 - 950ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2616 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2642 - val_categorical_accuracy: 0.9583 - 945ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9832 - val_loss: 0.3015 - val_categorical_accuracy: 0.9262 - 960ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.2333 - val_categorical_accuracy: 0.9593 - 950ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2408 - val_categorical_accuracy: 0.9608 - 950ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2476 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2460 - val_categorical_accuracy: 0.9599 - 980ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2480 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.2458 - val_categorical_accuracy: 0.9596 - 980ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2523 - val_categorical_accuracy: 0.9594 - 950ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2495 - val_categorical_accuracy: 0.9579 - 960ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2632 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2474 - val_categorical_accuracy: 0.9598 - 970ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2564 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2528 - val_categorical_accuracy: 0.9601 - 960ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2533 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9895 - val_loss: 0.2528 - val_categorical_accuracy: 0.9600 - 950ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.2550 - val_categorical_accuracy: 0.9580 - 950ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2657 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2648 - val_categorical_accuracy: 0.9578 - 960ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2894 - val_categorical_accuracy: 0.9529 - 929ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2686 - val_categorical_accuracy: 0.9557 - 970ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9789 - val_loss: 0.2362 - val_categorical_accuracy: 0.9574 - 940ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2425 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2436 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2478 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9885 - val_loss: 0.2430 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9898 - val_loss: 0.2550 - val_categorical_accuracy: 0.9583 - 940ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2459 - val_categorical_accuracy: 0.9580 - 940ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2497 - val_categorical_accuracy: 0.9587 - 940ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2608 - val_categorical_accuracy: 0.9590 - 950ms/epoch - 7ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2545 - val_categorical_accuracy: 0.9585 - 940ms/epoch - 7ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2589 - val_categorical_accuracy: 0.9597 - 940ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2581 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2676 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2539 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2633 - val_categorical_accuracy: 0.9585 - 960ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.2599 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2596 - val_categorical_accuracy: 0.9575 - 930ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2578 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2515 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2536 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.2738 - val_categorical_accuracy: 0.9562 - 930ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2695 - val_categorical_accuracy: 0.9589 - 980ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9788 - val_loss: 0.2386 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2360 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2459 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2474 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2712 - val_categorical_accuracy: 0.9534 - 930ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2539 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2522 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2517 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2477 - val_categorical_accuracy: 0.9605 - 940ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.2557 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2561 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2696 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2560 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.2748 - val_categorical_accuracy: 0.9557 - 930ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2557 - val_categorical_accuracy: 0.9601 - 940ms/epoch - 7ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2558 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2577 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2609 - val_categorical_accuracy: 0.9591 - 930ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2646 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2684 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2669 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2609 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2555 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2634 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2479 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2623 - val_categorical_accuracy: 0.9554 - 940ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2613 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2654 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2596 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.2596 - val_categorical_accuracy: 0.9600 - 950ms/epoch - 7ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2666 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2751 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2800 - val_categorical_accuracy: 0.9576 - 950ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2829 - val_categorical_accuracy: 0.9515 - 940ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2623 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2856 - val_categorical_accuracy: 0.9523 - 940ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2527 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.2605 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2731 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2675 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2582 - val_categorical_accuracy: 0.9607 - 933ms/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2636 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2732 - val_categorical_accuracy: 0.9565 - 930ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2681 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2712 - val_categorical_accuracy: 0.9594 - 924ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2801 - val_categorical_accuracy: 0.9554 - 940ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.1790 - categorical_accuracy: 0.9532 - val_loss: 0.2362 - val_categorical_accuracy: 0.9384 - 940ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9812 - val_loss: 0.2211 - val_categorical_accuracy: 0.9566 - 920ms/epoch - 7ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2442 - val_categorical_accuracy: 0.9570 - 930ms/epoch - 7ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9897 - val_loss: 0.2352 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9897 - val_loss: 0.2373 - val_categorical_accuracy: 0.9593 - 930ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2507 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2420 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2497 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2515 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2665 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2471 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2945 - val_categorical_accuracy: 0.9472 - 930ms/epoch - 7ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2553 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2532 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2593 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2588 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2547 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.2555 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9900 - val_loss: 0.2550 - val_categorical_accuracy: 0.9601 - 950ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2556 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2530 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2539 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2549 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2679 - val_categorical_accuracy: 0.9547 - 940ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2519 - val_categorical_accuracy: 0.9595 - 910ms/epoch - 6ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9895 - val_loss: 0.2611 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.3301 - val_categorical_accuracy: 0.9427 - 930ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2984 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2557 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2672 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2572 - val_categorical_accuracy: 0.9593 - 950ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9894 - val_loss: 0.2600 - val_categorical_accuracy: 0.9566 - 930ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2487 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9899 - val_loss: 0.2606 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2633 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2649 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2810 - val_categorical_accuracy: 0.9547 - 940ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2790 - val_categorical_accuracy: 0.9575 - 940ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2705 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.1473 - categorical_accuracy: 0.9633 - val_loss: 0.2371 - val_categorical_accuracy: 0.9323 - 920ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9813 - val_loss: 0.2276 - val_categorical_accuracy: 0.9563 - 960ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2257 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2315 - val_categorical_accuracy: 0.9607 - 950ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9900 - val_loss: 0.2385 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2417 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.2447 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9904 - val_loss: 0.2450 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.2496 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9899 - val_loss: 0.2586 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2618 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2548 - val_categorical_accuracy: 0.9600 - 940ms/epoch - 7ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.3084 - val_categorical_accuracy: 0.9479 - 920ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2533 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2446 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.2499 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2561 - val_categorical_accuracy: 0.9594 - 910ms/epoch - 6ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2650 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9899 - val_loss: 0.2617 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2601 - val_categorical_accuracy: 0.9585 - 936ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2614 - val_categorical_accuracy: 0.9579 - 1s/epoch - 8ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2583 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2692 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2564 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2982 - val_categorical_accuracy: 0.9507 - 930ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.1584 - categorical_accuracy: 0.9571 - val_loss: 0.2206 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.2329 - val_categorical_accuracy: 0.9588 - 920ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9898 - val_loss: 0.2379 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9899 - val_loss: 0.2368 - val_categorical_accuracy: 0.9606 - 950ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9899 - val_loss: 0.2395 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2419 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2420 - val_categorical_accuracy: 0.9585 - 940ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2478 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2490 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2461 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2587 - val_categorical_accuracy: 0.9531 - 940ms/epoch - 7ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2525 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2662 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
processing fold # 2 
Epoch 1/1500
141/141 - 2s - loss: 1.9962 - categorical_accuracy: 0.2466 - val_loss: 1.9812 - val_categorical_accuracy: 0.2163 - 2s/epoch - 13ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.8165 - categorical_accuracy: 0.3072 - val_loss: 1.5090 - val_categorical_accuracy: 0.4241 - 950ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.4772 - categorical_accuracy: 0.4302 - val_loss: 1.3400 - val_categorical_accuracy: 0.4637 - 940ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.3186 - categorical_accuracy: 0.4951 - val_loss: 2.1436 - val_categorical_accuracy: 0.3614 - 960ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.2349 - categorical_accuracy: 0.5366 - val_loss: 1.0891 - val_categorical_accuracy: 0.5938 - 950ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.1441 - categorical_accuracy: 0.5778 - val_loss: 1.0675 - val_categorical_accuracy: 0.6241 - 940ms/epoch - 7ms/step
Epoch 7/1500
141/141 - 1s - loss: 1.0198 - categorical_accuracy: 0.6191 - val_loss: 0.9084 - val_categorical_accuracy: 0.6527 - 920ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.9575 - categorical_accuracy: 0.6444 - val_loss: 0.8164 - val_categorical_accuracy: 0.6853 - 940ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.8600 - categorical_accuracy: 0.6747 - val_loss: 0.7856 - val_categorical_accuracy: 0.7047 - 930ms/epoch - 7ms/step
Epoch 10/1500
141/141 - 1s - loss: 1.2169 - categorical_accuracy: 0.5642 - val_loss: 0.8053 - val_categorical_accuracy: 0.6905 - 940ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.8287 - categorical_accuracy: 0.6968 - val_loss: 1.1179 - val_categorical_accuracy: 0.6139 - 910ms/epoch - 6ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.7079 - categorical_accuracy: 0.7328 - val_loss: 0.8085 - val_categorical_accuracy: 0.6999 - 920ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.6733 - categorical_accuracy: 0.7487 - val_loss: 0.5807 - val_categorical_accuracy: 0.7826 - 930ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.6441 - categorical_accuracy: 0.7624 - val_loss: 0.6005 - val_categorical_accuracy: 0.7796 - 940ms/epoch - 7ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.6562 - categorical_accuracy: 0.7647 - val_loss: 0.5564 - val_categorical_accuracy: 0.7913 - 950ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5734 - categorical_accuracy: 0.7884 - val_loss: 0.5152 - val_categorical_accuracy: 0.8124 - 950ms/epoch - 7ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5641 - categorical_accuracy: 0.7941 - val_loss: 0.5024 - val_categorical_accuracy: 0.8090 - 930ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.8969 - categorical_accuracy: 0.7091 - val_loss: 2.0438 - val_categorical_accuracy: 0.2519 - 950ms/epoch - 7ms/step
Epoch 19/1500
141/141 - 1s - loss: 1.5228 - categorical_accuracy: 0.4468 - val_loss: 0.9751 - val_categorical_accuracy: 0.6394 - 930ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.8262 - categorical_accuracy: 0.6810 - val_loss: 0.6891 - val_categorical_accuracy: 0.7239 - 940ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.6624 - categorical_accuracy: 0.7390 - val_loss: 0.5714 - val_categorical_accuracy: 0.7791 - 920ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.6184 - categorical_accuracy: 0.7652 - val_loss: 0.5563 - val_categorical_accuracy: 0.7791 - 920ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.5461 - categorical_accuracy: 0.7948 - val_loss: 0.4736 - val_categorical_accuracy: 0.8266 - 940ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.5010 - categorical_accuracy: 0.8127 - val_loss: 2.2755 - val_categorical_accuracy: 0.4798 - 920ms/epoch - 7ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.5782 - categorical_accuracy: 0.8041 - val_loss: 0.5217 - val_categorical_accuracy: 0.8015 - 920ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.4518 - categorical_accuracy: 0.8327 - val_loss: 0.5206 - val_categorical_accuracy: 0.8041 - 940ms/epoch - 7ms/step
Epoch 27/1500
141/141 - 1s - loss: 1.0980 - categorical_accuracy: 0.6384 - val_loss: 0.6335 - val_categorical_accuracy: 0.7699 - 920ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.5490 - categorical_accuracy: 0.7958 - val_loss: 0.5346 - val_categorical_accuracy: 0.8019 - 920ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.4781 - categorical_accuracy: 0.8261 - val_loss: 0.4221 - val_categorical_accuracy: 0.8487 - 920ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.4322 - categorical_accuracy: 0.8413 - val_loss: 0.5322 - val_categorical_accuracy: 0.8112 - 930ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 1.0956 - categorical_accuracy: 0.6262 - val_loss: 0.4532 - val_categorical_accuracy: 0.8422 - 920ms/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.4264 - categorical_accuracy: 0.8468 - val_loss: 0.4704 - val_categorical_accuracy: 0.8299 - 920ms/epoch - 7ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3942 - categorical_accuracy: 0.8578 - val_loss: 0.3965 - val_categorical_accuracy: 0.8575 - 930ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.4285 - categorical_accuracy: 0.8494 - val_loss: 0.3769 - val_categorical_accuracy: 0.8675 - 920ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3583 - categorical_accuracy: 0.8713 - val_loss: 0.3610 - val_categorical_accuracy: 0.8713 - 930ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3519 - categorical_accuracy: 0.8734 - val_loss: 0.3513 - val_categorical_accuracy: 0.8761 - 930ms/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3860 - categorical_accuracy: 0.8676 - val_loss: 0.3845 - val_categorical_accuracy: 0.8621 - 940ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3343 - categorical_accuracy: 0.8809 - val_loss: 0.3458 - val_categorical_accuracy: 0.8757 - 940ms/epoch - 7ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3258 - categorical_accuracy: 0.8838 - val_loss: 0.3275 - val_categorical_accuracy: 0.8831 - 940ms/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.3396 - categorical_accuracy: 0.8824 - val_loss: 0.3314 - val_categorical_accuracy: 0.8796 - 940ms/epoch - 7ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3030 - categorical_accuracy: 0.8917 - val_loss: 0.3411 - val_categorical_accuracy: 0.8809 - 920ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2996 - categorical_accuracy: 0.8942 - val_loss: 0.3053 - val_categorical_accuracy: 0.8922 - 940ms/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.3193 - categorical_accuracy: 0.8901 - val_loss: 0.2796 - val_categorical_accuracy: 0.9039 - 940ms/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2838 - categorical_accuracy: 0.9007 - val_loss: 0.2915 - val_categorical_accuracy: 0.8970 - 973ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2727 - categorical_accuracy: 0.9040 - val_loss: 0.3000 - val_categorical_accuracy: 0.8908 - 980ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.3014 - categorical_accuracy: 0.8960 - val_loss: 0.2669 - val_categorical_accuracy: 0.9097 - 960ms/epoch - 7ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2539 - categorical_accuracy: 0.9107 - val_loss: 0.2466 - val_categorical_accuracy: 0.9144 - 950ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2695 - categorical_accuracy: 0.9066 - val_loss: 0.2488 - val_categorical_accuracy: 0.9147 - 1s/epoch - 8ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2771 - categorical_accuracy: 0.9056 - val_loss: 0.2563 - val_categorical_accuracy: 0.9111 - 950ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2352 - categorical_accuracy: 0.9182 - val_loss: 0.2769 - val_categorical_accuracy: 0.9037 - 940ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.4517 - categorical_accuracy: 0.8655 - val_loss: 0.2604 - val_categorical_accuracy: 0.9099 - 920ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2332 - categorical_accuracy: 0.9189 - val_loss: 0.2908 - val_categorical_accuracy: 0.8934 - 920ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2413 - categorical_accuracy: 0.9164 - val_loss: 0.2565 - val_categorical_accuracy: 0.9120 - 930ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2385 - categorical_accuracy: 0.9189 - val_loss: 0.2489 - val_categorical_accuracy: 0.9138 - 940ms/epoch - 7ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2189 - categorical_accuracy: 0.9242 - val_loss: 0.2329 - val_categorical_accuracy: 0.9200 - 930ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2367 - categorical_accuracy: 0.9193 - val_loss: 0.2253 - val_categorical_accuracy: 0.9231 - 930ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2485 - categorical_accuracy: 0.9196 - val_loss: 0.2249 - val_categorical_accuracy: 0.9242 - 920ms/epoch - 7ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2089 - categorical_accuracy: 0.9279 - val_loss: 0.3036 - val_categorical_accuracy: 0.8947 - 920ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1974 - categorical_accuracy: 0.9315 - val_loss: 0.2447 - val_categorical_accuracy: 0.9163 - 920ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2167 - categorical_accuracy: 0.9264 - val_loss: 0.2101 - val_categorical_accuracy: 0.9287 - 930ms/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1959 - categorical_accuracy: 0.9324 - val_loss: 0.2039 - val_categorical_accuracy: 0.9303 - 920ms/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1932 - categorical_accuracy: 0.9337 - val_loss: 0.2187 - val_categorical_accuracy: 0.9249 - 930ms/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1955 - categorical_accuracy: 0.9326 - val_loss: 0.2581 - val_categorical_accuracy: 0.9134 - 940ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1995 - categorical_accuracy: 0.9325 - val_loss: 0.2196 - val_categorical_accuracy: 0.9247 - 930ms/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2029 - categorical_accuracy: 0.9316 - val_loss: 0.2566 - val_categorical_accuracy: 0.9124 - 930ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1855 - categorical_accuracy: 0.9378 - val_loss: 0.1973 - val_categorical_accuracy: 0.9328 - 940ms/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1966 - categorical_accuracy: 0.9349 - val_loss: 0.1846 - val_categorical_accuracy: 0.9372 - 940ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1785 - categorical_accuracy: 0.9403 - val_loss: 0.1901 - val_categorical_accuracy: 0.9362 - 940ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1646 - categorical_accuracy: 0.9435 - val_loss: 0.2017 - val_categorical_accuracy: 0.9308 - 940ms/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1907 - categorical_accuracy: 0.9368 - val_loss: 0.1897 - val_categorical_accuracy: 0.9351 - 950ms/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1748 - categorical_accuracy: 0.9405 - val_loss: 0.2346 - val_categorical_accuracy: 0.9211 - 930ms/epoch - 7ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1549 - categorical_accuracy: 0.9472 - val_loss: 0.3821 - val_categorical_accuracy: 0.8740 - 930ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1712 - categorical_accuracy: 0.9427 - val_loss: 0.2673 - val_categorical_accuracy: 0.9091 - 930ms/epoch - 7ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1934 - categorical_accuracy: 0.9375 - val_loss: 0.1807 - val_categorical_accuracy: 0.9406 - 930ms/epoch - 7ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1558 - categorical_accuracy: 0.9469 - val_loss: 0.2118 - val_categorical_accuracy: 0.9290 - 920ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1529 - categorical_accuracy: 0.9483 - val_loss: 0.1727 - val_categorical_accuracy: 0.9406 - 920ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1761 - categorical_accuracy: 0.9419 - val_loss: 0.1774 - val_categorical_accuracy: 0.9401 - 930ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1393 - categorical_accuracy: 0.9529 - val_loss: 0.1883 - val_categorical_accuracy: 0.9348 - 930ms/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1683 - categorical_accuracy: 0.9450 - val_loss: 0.2074 - val_categorical_accuracy: 0.9308 - 920ms/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1799 - categorical_accuracy: 0.9448 - val_loss: 2.1937 - val_categorical_accuracy: 0.5933 - 930ms/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1843 - categorical_accuracy: 0.9436 - val_loss: 0.1783 - val_categorical_accuracy: 0.9404 - 920ms/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1506 - categorical_accuracy: 0.9505 - val_loss: 0.1888 - val_categorical_accuracy: 0.9373 - 940ms/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1340 - categorical_accuracy: 0.9540 - val_loss: 0.2000 - val_categorical_accuracy: 0.9310 - 930ms/epoch - 7ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1639 - categorical_accuracy: 0.9481 - val_loss: 0.1995 - val_categorical_accuracy: 0.9334 - 930ms/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1344 - categorical_accuracy: 0.9542 - val_loss: 0.1977 - val_categorical_accuracy: 0.9323 - 920ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1491 - categorical_accuracy: 0.9503 - val_loss: 0.2378 - val_categorical_accuracy: 0.9155 - 920ms/epoch - 7ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1311 - categorical_accuracy: 0.9555 - val_loss: 0.1960 - val_categorical_accuracy: 0.9366 - 940ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1338 - categorical_accuracy: 0.9549 - val_loss: 0.1918 - val_categorical_accuracy: 0.9353 - 930ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1419 - categorical_accuracy: 0.9520 - val_loss: 0.1728 - val_categorical_accuracy: 0.9400 - 920ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1308 - categorical_accuracy: 0.9558 - val_loss: 0.1661 - val_categorical_accuracy: 0.9459 - 940ms/epoch - 7ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1316 - categorical_accuracy: 0.9567 - val_loss: 0.1750 - val_categorical_accuracy: 0.9432 - 920ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1438 - categorical_accuracy: 0.9526 - val_loss: 0.1581 - val_categorical_accuracy: 0.9472 - 940ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1419 - categorical_accuracy: 0.9545 - val_loss: 0.7374 - val_categorical_accuracy: 0.7750 - 920ms/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1245 - categorical_accuracy: 0.9589 - val_loss: 0.3490 - val_categorical_accuracy: 0.8766 - 930ms/epoch - 7ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1409 - categorical_accuracy: 0.9551 - val_loss: 0.1604 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1219 - categorical_accuracy: 0.9592 - val_loss: 0.8499 - val_categorical_accuracy: 0.7855 - 920ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1398 - categorical_accuracy: 0.9558 - val_loss: 0.1666 - val_categorical_accuracy: 0.9452 - 940ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1124 - categorical_accuracy: 0.9618 - val_loss: 0.1834 - val_categorical_accuracy: 0.9366 - 930ms/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1293 - categorical_accuracy: 0.9573 - val_loss: 0.1619 - val_categorical_accuracy: 0.9452 - 920ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1353 - categorical_accuracy: 0.9582 - val_loss: 0.8850 - val_categorical_accuracy: 0.7781 - 930ms/epoch - 7ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1299 - categorical_accuracy: 0.9583 - val_loss: 0.1646 - val_categorical_accuracy: 0.9421 - 930ms/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1038 - categorical_accuracy: 0.9652 - val_loss: 0.1610 - val_categorical_accuracy: 0.9462 - 930ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1258 - categorical_accuracy: 0.9593 - val_loss: 0.2050 - val_categorical_accuracy: 0.9303 - 920ms/epoch - 7ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9626 - val_loss: 0.1852 - val_categorical_accuracy: 0.9378 - 930ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1944 - categorical_accuracy: 0.9441 - val_loss: 0.1651 - val_categorical_accuracy: 0.9460 - 920ms/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1084 - categorical_accuracy: 0.9646 - val_loss: 0.1581 - val_categorical_accuracy: 0.9464 - 920ms/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9657 - val_loss: 0.1953 - val_categorical_accuracy: 0.9312 - 930ms/epoch - 7ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1225 - categorical_accuracy: 0.9607 - val_loss: 0.1452 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9673 - val_loss: 0.1626 - val_categorical_accuracy: 0.9476 - 916ms/epoch - 6ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.0939 - categorical_accuracy: 0.9685 - val_loss: 0.1666 - val_categorical_accuracy: 0.9468 - 916ms/epoch - 6ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1355 - categorical_accuracy: 0.9580 - val_loss: 0.1829 - val_categorical_accuracy: 0.9398 - 920ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1020 - categorical_accuracy: 0.9657 - val_loss: 0.1543 - val_categorical_accuracy: 0.9495 - 920ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9661 - val_loss: 0.1592 - val_categorical_accuracy: 0.9491 - 920ms/epoch - 7ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1343 - categorical_accuracy: 0.9593 - val_loss: 0.1571 - val_categorical_accuracy: 0.9466 - 930ms/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.0923 - categorical_accuracy: 0.9692 - val_loss: 0.1686 - val_categorical_accuracy: 0.9452 - 920ms/epoch - 7ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1183 - categorical_accuracy: 0.9616 - val_loss: 0.1599 - val_categorical_accuracy: 0.9484 - 940ms/epoch - 7ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9698 - val_loss: 0.1723 - val_categorical_accuracy: 0.9461 - 950ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1194 - categorical_accuracy: 0.9611 - val_loss: 0.1601 - val_categorical_accuracy: 0.9481 - 920ms/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1043 - categorical_accuracy: 0.9654 - val_loss: 0.1540 - val_categorical_accuracy: 0.9494 - 940ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9708 - val_loss: 0.1656 - val_categorical_accuracy: 0.9452 - 940ms/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9705 - val_loss: 0.1600 - val_categorical_accuracy: 0.9484 - 940ms/epoch - 7ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0973 - categorical_accuracy: 0.9673 - val_loss: 0.1431 - val_categorical_accuracy: 0.9535 - 940ms/epoch - 7ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9696 - val_loss: 0.4110 - val_categorical_accuracy: 0.8712 - 920ms/epoch - 7ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1545 - categorical_accuracy: 0.9565 - val_loss: 0.1740 - val_categorical_accuracy: 0.9464 - 930ms/epoch - 7ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9691 - val_loss: 0.1563 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1172 - categorical_accuracy: 0.9640 - val_loss: 0.2165 - val_categorical_accuracy: 0.9327 - 930ms/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0894 - categorical_accuracy: 0.9699 - val_loss: 0.1651 - val_categorical_accuracy: 0.9472 - 930ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9717 - val_loss: 0.2139 - val_categorical_accuracy: 0.9391 - 920ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1283 - categorical_accuracy: 0.9610 - val_loss: 0.1683 - val_categorical_accuracy: 0.9455 - 940ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9720 - val_loss: 0.1476 - val_categorical_accuracy: 0.9532 - 930ms/epoch - 7ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1109 - categorical_accuracy: 0.9647 - val_loss: 0.1471 - val_categorical_accuracy: 0.9536 - 940ms/epoch - 7ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9720 - val_loss: 0.2610 - val_categorical_accuracy: 0.9241 - 920ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0912 - categorical_accuracy: 0.9693 - val_loss: 0.3084 - val_categorical_accuracy: 0.9096 - 960ms/epoch - 7ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0961 - categorical_accuracy: 0.9688 - val_loss: 0.1497 - val_categorical_accuracy: 0.9530 - 940ms/epoch - 7ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9748 - val_loss: 0.1498 - val_categorical_accuracy: 0.9519 - 940ms/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9730 - val_loss: 0.1868 - val_categorical_accuracy: 0.9459 - 950ms/epoch - 7ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1149 - categorical_accuracy: 0.9635 - val_loss: 0.1659 - val_categorical_accuracy: 0.9474 - 950ms/epoch - 7ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9743 - val_loss: 0.1699 - val_categorical_accuracy: 0.9477 - 940ms/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9687 - val_loss: 0.1419 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9712 - val_loss: 0.1509 - val_categorical_accuracy: 0.9530 - 930ms/epoch - 7ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9700 - val_loss: 0.1699 - val_categorical_accuracy: 0.9466 - 940ms/epoch - 7ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0735 - categorical_accuracy: 0.9754 - val_loss: 0.1559 - val_categorical_accuracy: 0.9526 - 930ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9742 - val_loss: 0.1497 - val_categorical_accuracy: 0.9547 - 930ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9714 - val_loss: 0.1555 - val_categorical_accuracy: 0.9526 - 940ms/epoch - 7ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9717 - val_loss: 0.1595 - val_categorical_accuracy: 0.9500 - 924ms/epoch - 7ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0778 - categorical_accuracy: 0.9735 - val_loss: 0.2211 - val_categorical_accuracy: 0.9331 - 960ms/epoch - 7ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0779 - categorical_accuracy: 0.9738 - val_loss: 0.1493 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1039 - categorical_accuracy: 0.9695 - val_loss: 1.2855 - val_categorical_accuracy: 0.6940 - 920ms/epoch - 7ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1064 - categorical_accuracy: 0.9670 - val_loss: 0.1546 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9756 - val_loss: 0.1638 - val_categorical_accuracy: 0.9495 - 920ms/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9752 - val_loss: 0.5890 - val_categorical_accuracy: 0.8590 - 930ms/epoch - 7ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9704 - val_loss: 0.1451 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9708 - val_loss: 0.1352 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9741 - val_loss: 0.1423 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9768 - val_loss: 0.1401 - val_categorical_accuracy: 0.9588 - 920ms/epoch - 7ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9715 - val_loss: 0.1896 - val_categorical_accuracy: 0.9453 - 930ms/epoch - 7ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0706 - categorical_accuracy: 0.9760 - val_loss: 0.1613 - val_categorical_accuracy: 0.9502 - 930ms/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0727 - categorical_accuracy: 0.9752 - val_loss: 0.1557 - val_categorical_accuracy: 0.9538 - 940ms/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9753 - val_loss: 0.1550 - val_categorical_accuracy: 0.9535 - 930ms/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9745 - val_loss: 0.1544 - val_categorical_accuracy: 0.9547 - 930ms/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9760 - val_loss: 0.1493 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9695 - val_loss: 0.1595 - val_categorical_accuracy: 0.9485 - 940ms/epoch - 7ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9766 - val_loss: 0.1478 - val_categorical_accuracy: 0.9545 - 940ms/epoch - 7ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9761 - val_loss: 0.1738 - val_categorical_accuracy: 0.9459 - 930ms/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9764 - val_loss: 0.1792 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9767 - val_loss: 0.2002 - val_categorical_accuracy: 0.9391 - 920ms/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1108 - categorical_accuracy: 0.9655 - val_loss: 0.1658 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9780 - val_loss: 0.1395 - val_categorical_accuracy: 0.9592 - 940ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9781 - val_loss: 0.1667 - val_categorical_accuracy: 0.9483 - 920ms/epoch - 7ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1187 - categorical_accuracy: 0.9651 - val_loss: 0.1459 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9787 - val_loss: 0.1510 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9773 - val_loss: 0.1470 - val_categorical_accuracy: 0.9550 - 930ms/epoch - 7ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9711 - val_loss: 0.1433 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9785 - val_loss: 0.1649 - val_categorical_accuracy: 0.9520 - 943ms/epoch - 7ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9785 - val_loss: 0.1558 - val_categorical_accuracy: 0.9551 - 950ms/epoch - 7ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9776 - val_loss: 0.1539 - val_categorical_accuracy: 0.9557 - 940ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9789 - val_loss: 0.1490 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9785 - val_loss: 0.1945 - val_categorical_accuracy: 0.9461 - 930ms/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.1631 - categorical_accuracy: 0.9557 - val_loss: 0.1495 - val_categorical_accuracy: 0.9554 - 920ms/epoch - 7ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9791 - val_loss: 0.1463 - val_categorical_accuracy: 0.9566 - 920ms/epoch - 7ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0702 - categorical_accuracy: 0.9761 - val_loss: 0.1467 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9789 - val_loss: 0.1522 - val_categorical_accuracy: 0.9558 - 930ms/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9776 - val_loss: 0.1623 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9779 - val_loss: 0.1564 - val_categorical_accuracy: 0.9568 - 940ms/epoch - 7ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9700 - val_loss: 0.1379 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9790 - val_loss: 0.1738 - val_categorical_accuracy: 0.9456 - 930ms/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9789 - val_loss: 0.1409 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9794 - val_loss: 0.1769 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9779 - val_loss: 0.1501 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9781 - val_loss: 0.7980 - val_categorical_accuracy: 0.8384 - 920ms/epoch - 7ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9735 - val_loss: 0.1658 - val_categorical_accuracy: 0.9515 - 930ms/epoch - 7ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9788 - val_loss: 0.1483 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9794 - val_loss: 0.1504 - val_categorical_accuracy: 0.9576 - 940ms/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9789 - val_loss: 0.1526 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0938 - categorical_accuracy: 0.9718 - val_loss: 0.1546 - val_categorical_accuracy: 0.9546 - 930ms/epoch - 7ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9801 - val_loss: 0.1577 - val_categorical_accuracy: 0.9556 - 940ms/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9799 - val_loss: 0.1664 - val_categorical_accuracy: 0.9523 - 930ms/epoch - 7ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9780 - val_loss: 0.1672 - val_categorical_accuracy: 0.9521 - 950ms/epoch - 7ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.1215 - categorical_accuracy: 0.9651 - val_loss: 0.1472 - val_categorical_accuracy: 0.9540 - 920ms/epoch - 7ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9802 - val_loss: 0.1613 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9802 - val_loss: 0.1440 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9788 - val_loss: 0.1637 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9808 - val_loss: 0.1603 - val_categorical_accuracy: 0.9542 - 930ms/epoch - 7ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0828 - categorical_accuracy: 0.9735 - val_loss: 0.1427 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9810 - val_loss: 0.1546 - val_categorical_accuracy: 0.9567 - 950ms/epoch - 7ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9806 - val_loss: 0.1457 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9802 - val_loss: 0.1589 - val_categorical_accuracy: 0.9537 - 930ms/epoch - 7ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9794 - val_loss: 0.1468 - val_categorical_accuracy: 0.9578 - 940ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9803 - val_loss: 0.1501 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9810 - val_loss: 0.1450 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9791 - val_loss: 0.1606 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9758 - val_loss: 1.0127 - val_categorical_accuracy: 0.8129 - 930ms/epoch - 7ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0867 - categorical_accuracy: 0.9736 - val_loss: 0.1620 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9817 - val_loss: 0.1422 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.1016 - categorical_accuracy: 0.9706 - val_loss: 0.1454 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9814 - val_loss: 0.1452 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9813 - val_loss: 0.1587 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9775 - val_loss: 0.2076 - val_categorical_accuracy: 0.9433 - 930ms/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9792 - val_loss: 0.1467 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9809 - val_loss: 0.1622 - val_categorical_accuracy: 0.9550 - 930ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9809 - val_loss: 0.1701 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9808 - val_loss: 0.1625 - val_categorical_accuracy: 0.9585 - 950ms/epoch - 7ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9736 - val_loss: 0.1582 - val_categorical_accuracy: 0.9530 - 930ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9816 - val_loss: 0.1577 - val_categorical_accuracy: 0.9560 - 940ms/epoch - 7ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9818 - val_loss: 0.1589 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.1085 - categorical_accuracy: 0.9694 - val_loss: 0.1509 - val_categorical_accuracy: 0.9556 - 920ms/epoch - 7ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9813 - val_loss: 0.1545 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9817 - val_loss: 0.1496 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9803 - val_loss: 0.1545 - val_categorical_accuracy: 0.9598 - 925ms/epoch - 7ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9812 - val_loss: 0.3154 - val_categorical_accuracy: 0.9137 - 950ms/epoch - 7ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9772 - val_loss: 0.1549 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1526 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9823 - val_loss: 0.1579 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.1557 - categorical_accuracy: 0.9590 - val_loss: 0.1513 - val_categorical_accuracy: 0.9581 - 920ms/epoch - 7ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9817 - val_loss: 0.1605 - val_categorical_accuracy: 0.9549 - 940ms/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9818 - val_loss: 0.1459 - val_categorical_accuracy: 0.9603 - 920ms/epoch - 7ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9822 - val_loss: 0.1505 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9809 - val_loss: 0.1576 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9815 - val_loss: 0.1573 - val_categorical_accuracy: 0.9562 - 925ms/epoch - 7ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9765 - val_loss: 0.1527 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9820 - val_loss: 0.1670 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1541 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0821 - categorical_accuracy: 0.9748 - val_loss: 0.1524 - val_categorical_accuracy: 0.9573 - 910ms/epoch - 6ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9824 - val_loss: 0.1484 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9784 - val_loss: 0.1464 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9825 - val_loss: 0.1541 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9826 - val_loss: 0.1486 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9812 - val_loss: 0.1641 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.2195 - val_categorical_accuracy: 0.9382 - 940ms/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9808 - val_loss: 0.1614 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9769 - val_loss: 0.1518 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9825 - val_loss: 0.1602 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9817 - val_loss: 0.1792 - val_categorical_accuracy: 0.9525 - 930ms/epoch - 7ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9787 - val_loss: 0.1630 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9821 - val_loss: 0.1646 - val_categorical_accuracy: 0.9555 - 920ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9780 - val_loss: 0.1520 - val_categorical_accuracy: 0.9577 - 950ms/epoch - 7ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9832 - val_loss: 0.1464 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9830 - val_loss: 0.1451 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1618 - val_categorical_accuracy: 0.9560 - 940ms/epoch - 7ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9820 - val_loss: 0.1526 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9829 - val_loss: 0.1680 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9692 - val_loss: 0.1444 - val_categorical_accuracy: 0.9578 - 970ms/epoch - 7ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9830 - val_loss: 0.1466 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9829 - val_loss: 0.1591 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9837 - val_loss: 0.1547 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.1624 - val_categorical_accuracy: 0.9564 - 940ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0807 - categorical_accuracy: 0.9743 - val_loss: 0.1493 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9835 - val_loss: 0.1643 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9830 - val_loss: 0.1548 - val_categorical_accuracy: 0.9601 - 940ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1638 - val_categorical_accuracy: 0.9571 - 940ms/epoch - 7ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.1621 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1775 - val_categorical_accuracy: 0.9549 - 940ms/epoch - 7ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.1645 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9835 - val_loss: 0.1545 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9830 - val_loss: 0.1554 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9741 - val_loss: 0.1539 - val_categorical_accuracy: 0.9564 - 950ms/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9838 - val_loss: 0.1550 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9836 - val_loss: 0.1703 - val_categorical_accuracy: 0.9559 - 950ms/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9838 - val_loss: 0.1687 - val_categorical_accuracy: 0.9545 - 940ms/epoch - 7ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.1743 - val_categorical_accuracy: 0.9548 - 930ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.1612 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9828 - val_loss: 0.1897 - val_categorical_accuracy: 0.9514 - 940ms/epoch - 7ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9786 - val_loss: 0.1612 - val_categorical_accuracy: 0.9544 - 930ms/epoch - 7ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.1520 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1609 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.1745 - val_categorical_accuracy: 0.9563 - 940ms/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.1683 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9824 - val_loss: 0.1834 - val_categorical_accuracy: 0.9552 - 940ms/epoch - 7ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1728 - val_categorical_accuracy: 0.9548 - 930ms/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9776 - val_loss: 0.1565 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9840 - val_loss: 0.1563 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9770 - val_loss: 0.1572 - val_categorical_accuracy: 0.9540 - 920ms/epoch - 7ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9837 - val_loss: 0.1537 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1734 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.1473 - categorical_accuracy: 0.9614 - val_loss: 0.1420 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9838 - val_loss: 0.1609 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9839 - val_loss: 0.1456 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1511 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.1522 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9842 - val_loss: 0.1684 - val_categorical_accuracy: 0.9557 - 930ms/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9795 - val_loss: 0.1494 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1550 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9825 - val_loss: 0.1519 - val_categorical_accuracy: 0.9609 - 939ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9837 - val_loss: 0.1532 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1517 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1571 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1700 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1714 - val_categorical_accuracy: 0.9546 - 940ms/epoch - 7ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1624 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9841 - val_loss: 0.1665 - val_categorical_accuracy: 0.9598 - 920ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9838 - val_loss: 0.1629 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1598 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9816 - val_loss: 0.1576 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1587 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1615 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9766 - val_loss: 0.1743 - val_categorical_accuracy: 0.9497 - 940ms/epoch - 7ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9834 - val_loss: 0.1582 - val_categorical_accuracy: 0.9593 - 930ms/epoch - 7ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.1580 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9821 - val_loss: 0.1630 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.1644 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.1564 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9806 - val_loss: 0.1661 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1571 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9833 - val_loss: 0.1554 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9849 - val_loss: 0.1584 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 326/1500
Epoch 327/1500
141/141 - 1s - loss: 0.1007 - categorical_accuracy: 0.9722 - val_loss: 0.1424 - val_categorical_accuracy: 0.9607 - 960ms/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9846 - val_loss: 0.1544 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9851 - val_loss: 0.1702 - val_categorical_accuracy: 0.9591 - 930ms/epoch - 7ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.1524 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1517 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.1618 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.1638 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1646 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1628 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1619 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1702 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9770 - val_loss: 0.1504 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.1579 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1750 - val_categorical_accuracy: 0.9566 - 920ms/epoch - 7ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1910 - val_categorical_accuracy: 0.9493 - 920ms/epoch - 7ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1643 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1612 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9800 - val_loss: 0.1589 - val_categorical_accuracy: 0.9601 - 940ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9849 - val_loss: 0.1589 - val_categorical_accuracy: 0.9600 - 940ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1652 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.1628 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9769 - val_loss: 0.1497 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9852 - val_loss: 0.1667 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1657 - val_categorical_accuracy: 0.9582 - 940ms/epoch - 7ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.2155 - val_categorical_accuracy: 0.9444 - 930ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9810 - val_loss: 0.1548 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.1541 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9837 - val_loss: 0.1544 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.1628 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1637 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.1594 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1746 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1676 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1722 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1727 - val_categorical_accuracy: 0.9596 - 950ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.1915 - val_categorical_accuracy: 0.9531 - 940ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.1701 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9743 - val_loss: 0.1657 - val_categorical_accuracy: 0.9585 - 940ms/epoch - 7ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.1572 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1563 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1622 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.2039 - val_categorical_accuracy: 0.9487 - 937ms/epoch - 7ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9848 - val_loss: 0.1869 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1654 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1679 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.1838 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.1798 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9815 - val_loss: 0.1664 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1656 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1984 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1636 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.1834 - val_categorical_accuracy: 0.9554 - 940ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9832 - val_loss: 0.1772 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.2530 - val_categorical_accuracy: 0.9491 - 930ms/epoch - 7ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.1120 - categorical_accuracy: 0.9706 - val_loss: 0.1496 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9860 - val_loss: 0.1614 - val_categorical_accuracy: 0.9591 - 930ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9862 - val_loss: 0.1555 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1585 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1639 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.2019 - val_categorical_accuracy: 0.9528 - 940ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1875 - val_categorical_accuracy: 0.9572 - 960ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.1627 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1754 - val_categorical_accuracy: 0.9601 - 940ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1663 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.1693 - val_categorical_accuracy: 0.9596 - 960ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1716 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.1712 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9853 - val_loss: 0.1758 - val_categorical_accuracy: 0.9613 - 950ms/epoch - 7ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9818 - val_loss: 0.1657 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1704 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1682 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.1856 - val_categorical_accuracy: 0.9564 - 940ms/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.1739 - val_categorical_accuracy: 0.9621 - 923ms/epoch - 7ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1743 - val_categorical_accuracy: 0.9605 - 960ms/epoch - 7ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.1730 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1937 - val_categorical_accuracy: 0.9546 - 930ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1658 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1830 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1906 - val_categorical_accuracy: 0.9572 - 930ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.1777 - val_categorical_accuracy: 0.9579 - 930ms/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9838 - val_loss: 0.1677 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.1615 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.1168 - categorical_accuracy: 0.9685 - val_loss: 0.1655 - val_categorical_accuracy: 0.9551 - 910ms/epoch - 6ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9859 - val_loss: 0.1563 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.1633 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1591 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1630 - val_categorical_accuracy: 0.9630 - 1s/epoch - 8ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.1693 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1880 - val_categorical_accuracy: 0.9554 - 930ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1704 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1700 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.1828 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2266 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9786 - val_loss: 0.1534 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9856 - val_loss: 0.2055 - val_categorical_accuracy: 0.9486 - 920ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1662 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1672 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1680 - val_categorical_accuracy: 0.9626 - 950ms/epoch - 7ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.1829 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1658 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.1769 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9853 - val_loss: 0.1687 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.1730 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.1762 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1791 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1743 - val_categorical_accuracy: 0.9615 - 926ms/epoch - 7ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1698 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.1712 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.1641 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1785 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9794 - val_loss: 0.1533 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1638 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2139 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1680 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1889 - val_categorical_accuracy: 0.9555 - 940ms/epoch - 7ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1660 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1720 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1869 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9860 - val_loss: 0.2129 - val_categorical_accuracy: 0.9527 - 940ms/epoch - 7ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.1816 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1714 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.1833 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1659 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.1765 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1850 - val_categorical_accuracy: 0.9626 - 952ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9799 - val_loss: 0.1761 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1726 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9860 - val_loss: 0.1779 - val_categorical_accuracy: 0.9611 - 950ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1875 - val_categorical_accuracy: 0.9561 - 960ms/epoch - 7ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1888 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1695 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9767 - val_loss: 0.1650 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.1591 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1670 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1693 - val_categorical_accuracy: 0.9599 - 950ms/epoch - 7ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1796 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9803 - val_loss: 0.1510 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.1644 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1788 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1703 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1780 - val_categorical_accuracy: 0.9615 - 960ms/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1926 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1676 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9862 - val_loss: 0.1794 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.1819 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9860 - val_loss: 0.1697 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1837 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9861 - val_loss: 0.1719 - val_categorical_accuracy: 0.9621 - 950ms/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1918 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1916 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1724 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1688 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1805 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.1806 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1849 - val_categorical_accuracy: 0.9609 - 950ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1771 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.1373 - categorical_accuracy: 0.9656 - val_loss: 0.1510 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9868 - val_loss: 0.1664 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.1749 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.1778 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1777 - val_categorical_accuracy: 0.9602 - 943ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1762 - val_categorical_accuracy: 0.9618 - 960ms/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1778 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1746 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1872 - val_categorical_accuracy: 0.9576 - 940ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.1753 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1918 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.1763 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9759 - val_loss: 0.1607 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9864 - val_loss: 0.1599 - val_categorical_accuracy: 0.9620 - 925ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.1644 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.1646 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1774 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1737 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1881 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9866 - val_loss: 0.1753 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.1825 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1756 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1797 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.1782 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1901 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1825 - val_categorical_accuracy: 0.9605 - 950ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1762 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1793 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9863 - val_loss: 0.1853 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9788 - val_loss: 0.1533 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.1694 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1645 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1818 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1922 - val_categorical_accuracy: 0.9562 - 930ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.1819 - val_categorical_accuracy: 0.9582 - 910ms/epoch - 6ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.1700 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.1754 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1741 - val_categorical_accuracy: 0.9627 - 980ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1847 - val_categorical_accuracy: 0.9599 - 960ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1847 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.1919 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1849 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.1764 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2066 - val_categorical_accuracy: 0.9546 - 910ms/epoch - 6ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2033 - val_categorical_accuracy: 0.9575 - 930ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.1758 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.2112 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1794 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1856 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1809 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1740 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1776 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1758 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.1862 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.2545 - categorical_accuracy: 0.9373 - val_loss: 0.1573 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9852 - val_loss: 0.1753 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1608 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9871 - val_loss: 0.1851 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1715 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1806 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.1712 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.1831 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1823 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1825 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1752 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1812 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1790 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1833 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9862 - val_loss: 0.1693 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1764 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1745 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.1905 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2201 - val_categorical_accuracy: 0.9525 - 940ms/epoch - 7ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.1879 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.1881 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1833 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1756 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1832 - val_categorical_accuracy: 0.9616 - 910ms/epoch - 6ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.1782 - val_categorical_accuracy: 0.9620 - 910ms/epoch - 6ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.1798 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.1911 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1857 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9740 - val_loss: 0.1559 - val_categorical_accuracy: 0.9598 - 920ms/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1673 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.1690 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9873 - val_loss: 0.1713 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1757 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1829 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2301 - val_categorical_accuracy: 0.9479 - 920ms/epoch - 7ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.1857 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1746 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1819 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1834 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.1756 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.1700 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.1760 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1784 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1777 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.1847 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1827 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1771 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.1871 - val_categorical_accuracy: 0.9609 - 950ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2092 - val_categorical_accuracy: 0.9546 - 950ms/epoch - 7ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9867 - val_loss: 0.1875 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1899 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9870 - val_loss: 0.1878 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9856 - val_loss: 0.1984 - val_categorical_accuracy: 0.9569 - 940ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.1916 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.1902 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1844 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.1755 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9855 - val_loss: 0.1869 - val_categorical_accuracy: 0.9616 - 910ms/epoch - 6ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1777 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.1888 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2275 - val_categorical_accuracy: 0.9504 - 930ms/epoch - 7ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.1778 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.2092 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.2077 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9783 - val_loss: 0.1600 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9880 - val_loss: 0.1790 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1768 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.1895 - val_categorical_accuracy: 0.9599 - 950ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.1754 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.1765 - val_categorical_accuracy: 0.9626 - 980ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1780 - val_categorical_accuracy: 0.9642 - 910ms/epoch - 6ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.1828 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.1942 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.1931 - val_categorical_accuracy: 0.9607 - 940ms/epoch - 7ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1892 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1815 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1880 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.1931 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.1951 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.1808 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1878 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9833 - val_loss: 0.1690 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1778 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1839 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1791 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1901 - val_categorical_accuracy: 0.9615 - 940ms/epoch - 7ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1848 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2182 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9867 - val_loss: 0.1890 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9771 - val_loss: 0.1644 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.1674 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.1759 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.1976 - val_categorical_accuracy: 0.9577 - 950ms/epoch - 7ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1816 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.1777 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9876 - val_loss: 0.2027 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1837 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.1817 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1900 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.2055 - val_categorical_accuracy: 0.9583 - 940ms/epoch - 7ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.1858 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1854 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1981 - val_categorical_accuracy: 0.9580 - 940ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.2037 - val_categorical_accuracy: 0.9575 - 930ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1830 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1858 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.1918 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.1911 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.1804 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1929 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.1916 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.1834 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9802 - val_loss: 0.1698 - val_categorical_accuracy: 0.9539 - 980ms/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.1653 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.1729 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.1758 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1808 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9856 - val_loss: 0.1814 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1768 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1877 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9823 - val_loss: 0.1766 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1847 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.1801 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1825 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1795 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1839 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.1842 - val_categorical_accuracy: 0.9625 - 950ms/epoch - 7ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1967 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1988 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1860 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.1837 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.1814 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1912 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1817 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1830 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1806 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1917 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2034 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1805 - val_categorical_accuracy: 0.9625 - 910ms/epoch - 6ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9801 - val_loss: 0.1614 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1709 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.1898 - val_categorical_accuracy: 0.9611 - 923ms/epoch - 7ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.1831 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.1913 - val_categorical_accuracy: 0.9609 - 929ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1773 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1934 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.1844 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.1920 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.1900 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9833 - val_loss: 0.2246 - val_categorical_accuracy: 0.9489 - 940ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1813 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1881 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.1849 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1833 - val_categorical_accuracy: 0.9644 - 923ms/epoch - 7ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1843 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1893 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9882 - val_loss: 0.1946 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.1967 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.1856 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2195 - val_categorical_accuracy: 0.9557 - 950ms/epoch - 7ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9882 - val_loss: 0.1899 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1933 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.1910 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.1937 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1920 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.1931 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.1963 - val_categorical_accuracy: 0.9610 - 960ms/epoch - 7ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1843 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9813 - val_loss: 0.1755 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9889 - val_loss: 0.2073 - val_categorical_accuracy: 0.9574 - 940ms/epoch - 7ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.1921 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.1946 - val_categorical_accuracy: 0.9602 - 940ms/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1816 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2033 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.1887 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1959 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2027 - val_categorical_accuracy: 0.9591 - 970ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2391 - val_categorical_accuracy: 0.9481 - 940ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.1872 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1891 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2544 - val_categorical_accuracy: 0.9523 - 930ms/epoch - 7ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9817 - val_loss: 0.1808 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.1737 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1783 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1877 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1883 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.1961 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1797 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.1892 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2018 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2028 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1875 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.1877 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.4246 - val_categorical_accuracy: 0.9157 - 940ms/epoch - 7ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9798 - val_loss: 0.1761 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.1827 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1907 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.1897 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1891 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1839 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.1936 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.1830 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9816 - val_loss: 0.1801 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1759 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.1999 - val_categorical_accuracy: 0.9560 - 920ms/epoch - 7ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.3454 - val_categorical_accuracy: 0.9296 - 930ms/epoch - 7ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.1794 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.1855 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9884 - val_loss: 0.1917 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1929 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2279 - val_categorical_accuracy: 0.9524 - 940ms/epoch - 7ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2032 - val_categorical_accuracy: 0.9592 - 930ms/epoch - 7ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.1852 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2055 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2064 - val_categorical_accuracy: 0.9590 - 927ms/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1981 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9884 - val_loss: 0.1911 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1956 - val_categorical_accuracy: 0.9630 - 933ms/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2191 - val_categorical_accuracy: 0.9590 - 1s/epoch - 8ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1881 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.1947 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1939 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1951 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2104 - val_categorical_accuracy: 0.9565 - 930ms/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1950 - val_categorical_accuracy: 0.9622 - 910ms/epoch - 6ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9832 - val_loss: 0.1799 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1800 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1868 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.1945 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.1937 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1944 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2061 - val_categorical_accuracy: 0.9607 - 1s/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.1945 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.1961 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.1964 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.1934 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.1915 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.2200 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.1961 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.1934 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2386 - val_categorical_accuracy: 0.9534 - 950ms/epoch - 7ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.1978 - val_categorical_accuracy: 0.9607 - 950ms/epoch - 7ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1904 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2156 - val_categorical_accuracy: 0.9581 - 940ms/epoch - 7ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.1973 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2069 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2021 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1948 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2052 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.1990 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.1942 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.1988 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2025 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2034 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1907 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2170 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2079 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.1952 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9884 - val_loss: 0.2036 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9813 - val_loss: 0.1878 - val_categorical_accuracy: 0.9545 - 930ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1861 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1836 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.1949 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2090 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2090 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1977 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1995 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2034 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2135 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2047 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2054 - val_categorical_accuracy: 0.9608 - 950ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2229 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2370 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9811 - val_loss: 0.1731 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.1844 - val_categorical_accuracy: 0.9638 - 910ms/epoch - 6ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1857 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1913 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.1887 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1946 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2057 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.1973 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.1906 - val_categorical_accuracy: 0.9622 - 919ms/epoch - 7ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.1954 - val_categorical_accuracy: 0.9629 - 910ms/epoch - 6ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2012 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2061 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1939 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9820 - val_loss: 0.1798 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1851 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1907 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1922 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1967 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1949 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1988 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2187 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2031 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1972 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2089 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2087 - val_categorical_accuracy: 0.9592 - 930ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.1951 - val_categorical_accuracy: 0.9635 - 910ms/epoch - 6ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9889 - val_loss: 0.2004 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1991 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2040 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.1906 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2143 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2019 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2045 - val_categorical_accuracy: 0.9635 - 960ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1974 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9889 - val_loss: 0.2013 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2104 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2082 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1993 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2025 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9889 - val_loss: 0.2024 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2041 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9885 - val_loss: 0.2054 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2065 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.2029 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2010 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9816 - val_loss: 0.1789 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2029 - val_categorical_accuracy: 0.9600 - 940ms/epoch - 7ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.1906 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2025 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2083 - val_categorical_accuracy: 0.9620 - 910ms/epoch - 6ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2018 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2008 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.1905 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2089 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2015 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9887 - val_loss: 0.2102 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.2006 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2020 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1964 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2063 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2013 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2167 - val_categorical_accuracy: 0.9568 - 950ms/epoch - 7ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9891 - val_loss: 0.2254 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2472 - val_categorical_accuracy: 0.9541 - 950ms/epoch - 7ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2033 - val_categorical_accuracy: 0.9637 - 1s/epoch - 7ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9901 - val_loss: 0.2093 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2022 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9784 - val_loss: 0.1663 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1875 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1814 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.1868 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1985 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2014 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.1944 - val_categorical_accuracy: 0.9630 - 934ms/epoch - 7ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.1951 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.2085 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2121 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2054 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9875 - val_loss: 0.1959 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1955 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.1954 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2143 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1985 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.1945 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.2018 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9896 - val_loss: 0.2064 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2090 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.2039 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2074 - val_categorical_accuracy: 0.9615 - 940ms/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9805 - val_loss: 0.1807 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1896 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2178 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.1919 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9888 - val_loss: 0.1944 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2042 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2012 - val_categorical_accuracy: 0.9635 - 950ms/epoch - 7ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2024 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2025 - val_categorical_accuracy: 0.9634 - 950ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2021 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2033 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2095 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.2129 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2160 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2131 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2026 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2117 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2006 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2048 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1978 - val_categorical_accuracy: 0.9631 - 950ms/epoch - 7ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2108 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2862 - val_categorical_accuracy: 0.9438 - 930ms/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2018 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9895 - val_loss: 0.2074 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2192 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2057 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2049 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2046 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2112 - val_categorical_accuracy: 0.9625 - 950ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2000 - val_categorical_accuracy: 0.9631 - 960ms/epoch - 7ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2037 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9889 - val_loss: 0.2290 - val_categorical_accuracy: 0.9591 - 950ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2066 - val_categorical_accuracy: 0.9631 - 950ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2175 - val_categorical_accuracy: 0.9622 - 950ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2125 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2084 - val_categorical_accuracy: 0.9628 - 950ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2421 - val_categorical_accuracy: 0.9544 - 950ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2107 - val_categorical_accuracy: 0.9636 - 950ms/epoch - 7ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9891 - val_loss: 0.2187 - val_categorical_accuracy: 0.9581 - 950ms/epoch - 7ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9893 - val_loss: 0.2076 - val_categorical_accuracy: 0.9630 - 980ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9888 - val_loss: 0.2061 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2249 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2050 - val_categorical_accuracy: 0.9619 - 970ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2142 - val_categorical_accuracy: 0.9630 - 950ms/epoch - 7ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2197 - val_categorical_accuracy: 0.9626 - 970ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.2040 - val_categorical_accuracy: 0.9641 - 950ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2114 - val_categorical_accuracy: 0.9642 - 950ms/epoch - 7ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2049 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9899 - val_loss: 0.2160 - val_categorical_accuracy: 0.9620 - 956ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2153 - val_categorical_accuracy: 0.9621 - 970ms/epoch - 7ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2227 - val_categorical_accuracy: 0.9592 - 940ms/epoch - 7ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2139 - val_categorical_accuracy: 0.9633 - 960ms/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2163 - val_categorical_accuracy: 0.9631 - 960ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2211 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2196 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2092 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2124 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2098 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2083 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.2124 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2083 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9887 - val_loss: 0.2024 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9878 - val_loss: 0.2105 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2076 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2161 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.2295 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2158 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2163 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2256 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2166 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2052 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.2397 - val_categorical_accuracy: 0.9558 - 950ms/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9848 - val_loss: 0.1985 - val_categorical_accuracy: 0.9635 - 950ms/epoch - 7ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2090 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2065 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2127 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2193 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9896 - val_loss: 0.2108 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9899 - val_loss: 0.2159 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9837 - val_loss: 0.8421 - val_categorical_accuracy: 0.8326 - 940ms/epoch - 7ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9829 - val_loss: 0.1777 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.1966 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1927 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9905 - val_loss: 0.1992 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.1996 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2063 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2033 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1970 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9898 - val_loss: 0.2069 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2197 - val_categorical_accuracy: 0.9597 - 940ms/epoch - 7ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2116 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2092 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9816 - val_loss: 0.1852 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.1988 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.2083 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2021 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.2080 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9886 - val_loss: 0.2083 - val_categorical_accuracy: 0.9592 - 930ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2062 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9802 - val_loss: 0.1660 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1867 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.1987 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2030 - val_categorical_accuracy: 0.9615 - 910ms/epoch - 6ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1956 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2012 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1973 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2052 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2053 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2153 - val_categorical_accuracy: 0.9621 - 925ms/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2056 - val_categorical_accuracy: 0.9639 - 1s/epoch - 7ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2138 - val_categorical_accuracy: 0.9588 - 990ms/epoch - 7ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2083 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2136 - val_categorical_accuracy: 0.9621 - 925ms/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2064 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2112 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2124 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2136 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2042 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2166 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2099 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9875 - val_loss: 0.2300 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2142 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2150 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.1982 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2145 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2177 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.4064 - val_categorical_accuracy: 0.9297 - 950ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9805 - val_loss: 0.1936 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9901 - val_loss: 0.2070 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2045 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1999 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2039 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2040 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2168 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2073 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2032 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2233 - val_categorical_accuracy: 0.9605 - 980ms/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2154 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2087 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2485 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2188 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2229 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2095 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2184 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2134 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2039 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9901 - val_loss: 0.2124 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2077 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9835 - val_loss: 0.2307 - val_categorical_accuracy: 0.9362 - 920ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1869 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1969 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9905 - val_loss: 0.1968 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.2043 - val_categorical_accuracy: 0.9621 - 960ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2057 - val_categorical_accuracy: 0.9630 - 950ms/epoch - 7ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2082 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2116 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9903 - val_loss: 0.2196 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9901 - val_loss: 0.2196 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2246 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2113 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2098 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2120 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2088 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0688 - categorical_accuracy: 0.9804 - val_loss: 0.1907 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9901 - val_loss: 0.1969 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.1972 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.1998 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2007 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9813 - val_loss: 0.1772 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.1892 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.2010 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2008 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2048 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1994 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2053 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2026 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2150 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2079 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2361 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2074 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2175 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2039 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2084 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2231 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.2186 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.2371 - val_categorical_accuracy: 0.9555 - 940ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2263 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9905 - val_loss: 0.2059 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2184 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2209 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2123 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2183 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2149 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2130 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2156 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2192 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2184 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2155 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2265 - val_categorical_accuracy: 0.9619 - 1s/epoch - 8ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2127 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9900 - val_loss: 0.2245 - val_categorical_accuracy: 0.9603 - 980ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2181 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2185 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2327 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2216 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2308 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2291 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2160 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.2390 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2334 - val_categorical_accuracy: 0.9588 - 920ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9899 - val_loss: 0.2312 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2416 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2155 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2386 - val_categorical_accuracy: 0.9547 - 940ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2235 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2090 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9903 - val_loss: 0.2315 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.2175 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2231 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2200 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.2245 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2263 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2197 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2415 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9892 - val_loss: 0.2209 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2235 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2237 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2163 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2571 - val_categorical_accuracy: 0.9589 - 910ms/epoch - 6ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2214 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2315 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2160 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9894 - val_loss: 0.2150 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2206 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2294 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2354 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.2211 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9895 - val_loss: 0.2241 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9904 - val_loss: 0.2388 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2160 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2255 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2300 - val_categorical_accuracy: 0.9608 - 929ms/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9899 - val_loss: 0.2399 - val_categorical_accuracy: 0.9598 - 930ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2231 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2246 - val_categorical_accuracy: 0.9609 - 1s/epoch - 8ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2283 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2184 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2226 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9899 - val_loss: 0.2315 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9898 - val_loss: 0.2205 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9901 - val_loss: 0.2222 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2228 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.2328 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9819 - val_loss: 0.1994 - val_categorical_accuracy: 0.9621 - 950ms/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9894 - val_loss: 0.4805 - val_categorical_accuracy: 0.9072 - 930ms/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9851 - val_loss: 0.2000 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2023 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2152 - val_categorical_accuracy: 0.9607 - 950ms/epoch - 7ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2056 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2137 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2138 - val_categorical_accuracy: 0.9628 - 950ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.2153 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2148 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2123 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2163 - val_categorical_accuracy: 0.9625 - 960ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2111 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2208 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2259 - val_categorical_accuracy: 0.9630 - 950ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2298 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2244 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2208 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2197 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.2186 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.2191 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9804 - val_loss: 0.1884 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.2026 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2233 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2142 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9901 - val_loss: 0.2100 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2083 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2252 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2179 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2208 - val_categorical_accuracy: 0.9598 - 920ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2136 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2161 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2150 - val_categorical_accuracy: 0.9635 - 1s/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2244 - val_categorical_accuracy: 0.9615 - 1s/epoch - 7ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2177 - val_categorical_accuracy: 0.9629 - 970ms/epoch - 7ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2381 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9840 - val_loss: 0.1813 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9904 - val_loss: 0.1956 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2094 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9911 - val_loss: 0.2070 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2262 - val_categorical_accuracy: 0.9593 - 930ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2096 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2176 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2108 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2106 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2155 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2167 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2231 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2173 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2198 - val_categorical_accuracy: 0.9610 - 910ms/epoch - 6ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2308 - val_categorical_accuracy: 0.9597 - 940ms/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9904 - val_loss: 0.2423 - val_categorical_accuracy: 0.9599 - 960ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2176 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2176 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2213 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2204 - val_categorical_accuracy: 0.9638 - 910ms/epoch - 6ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9907 - val_loss: 0.2353 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9849 - val_loss: 0.2048 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.2108 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2189 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9902 - val_loss: 0.2110 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2245 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2139 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2286 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.2176 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9907 - val_loss: 0.2282 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2179 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2156 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9883 - val_loss: 0.7589 - val_categorical_accuracy: 0.8844 - 930ms/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9847 - val_loss: 0.1914 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2015 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2068 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2116 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2148 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2110 - val_categorical_accuracy: 0.9637 - 950ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2174 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2234 - val_categorical_accuracy: 0.9622 - 960ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9901 - val_loss: 0.2177 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.2212 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2285 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2347 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2327 - val_categorical_accuracy: 0.9605 - 940ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2172 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9904 - val_loss: 0.2161 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2299 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2328 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9875 - val_loss: 0.7311 - val_categorical_accuracy: 0.8681 - 920ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9859 - val_loss: 0.1909 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2024 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2006 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2191 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2086 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2088 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2203 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2168 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2120 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2093 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2229 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.2286 - val_categorical_accuracy: 0.9615 - 950ms/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.2293 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2183 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2166 - val_categorical_accuracy: 0.9645 - 950ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2346 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2287 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9903 - val_loss: 0.2166 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2286 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.2220 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2323 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2241 - val_categorical_accuracy: 0.9651 - 950ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2359 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2376 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2194 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2256 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2237 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2331 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2269 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2191 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2360 - val_categorical_accuracy: 0.9618 - 914ms/epoch - 6ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2403 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2200 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2290 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2245 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2310 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2296 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2206 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2288 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2414 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2279 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2566 - val_categorical_accuracy: 0.9552 - 940ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2244 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2211 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2281 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2208 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2433 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2257 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2197 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.2307 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2251 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2225 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9890 - val_loss: 0.2423 - val_categorical_accuracy: 0.9576 - 930ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2223 - val_categorical_accuracy: 0.9638 - 970ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9904 - val_loss: 0.2256 - val_categorical_accuracy: 0.9635 - 950ms/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9880 - val_loss: 0.2108 - val_categorical_accuracy: 0.9626 - 950ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2138 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2192 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9910 - val_loss: 0.2247 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2234 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2243 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2250 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9907 - val_loss: 0.2329 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.2349 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2350 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2295 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9898 - val_loss: 0.2305 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2276 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2283 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2266 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9906 - val_loss: 0.2270 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9906 - val_loss: 0.2283 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2319 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2428 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2374 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2320 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9909 - val_loss: 0.2329 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9881 - val_loss: 0.2408 - val_categorical_accuracy: 0.9565 - 930ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9850 - val_loss: 0.2110 - val_categorical_accuracy: 0.9610 - 960ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2075 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2230 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2275 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9909 - val_loss: 0.2253 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2261 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2297 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.2247 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.2233 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9909 - val_loss: 0.2392 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2256 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2314 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2696 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2237 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.2311 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2294 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2341 - val_categorical_accuracy: 0.9630 - 926ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2313 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2269 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2351 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2393 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2351 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2355 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2328 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.3931 - val_categorical_accuracy: 0.9333 - 930ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9833 - val_loss: 0.2068 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2197 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2171 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2282 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2434 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2320 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9907 - val_loss: 0.2454 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2212 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2341 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2265 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9906 - val_loss: 0.2278 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2287 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9901 - val_loss: 0.2179 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2321 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2289 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2323 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2239 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2229 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2484 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.2262 - val_categorical_accuracy: 0.9637 - 960ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9908 - val_loss: 0.2364 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2275 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2241 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2332 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2520 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9903 - val_loss: 0.3390 - val_categorical_accuracy: 0.9348 - 930ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9856 - val_loss: 0.2050 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2163 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2160 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2257 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2306 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.2240 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2308 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2219 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2273 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2228 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9906 - val_loss: 0.2236 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9909 - val_loss: 0.2306 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2286 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2280 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2309 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9906 - val_loss: 0.2278 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2391 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2277 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2536 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2513 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.2486 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2280 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2340 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2328 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2367 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9907 - val_loss: 0.2267 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.1817 - categorical_accuracy: 0.9553 - val_loss: 0.1873 - val_categorical_accuracy: 0.9504 - 950ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1986 - val_categorical_accuracy: 0.9603 - 920ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9902 - val_loss: 0.1959 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2116 - val_categorical_accuracy: 0.9621 - 933ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9909 - val_loss: 0.2107 - val_categorical_accuracy: 0.9641 - 960ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.2476 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2163 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9908 - val_loss: 0.2209 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2294 - val_categorical_accuracy: 0.9616 - 910ms/epoch - 6ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2332 - val_categorical_accuracy: 0.9612 - 910ms/epoch - 6ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9907 - val_loss: 0.2359 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2220 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2259 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2276 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2240 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9908 - val_loss: 0.2369 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.2264 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2403 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2361 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2492 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2318 - val_categorical_accuracy: 0.9640 - 1s/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9822 - val_loss: 0.1916 - val_categorical_accuracy: 0.9650 - 1s/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2097 - val_categorical_accuracy: 0.9636 - 960ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2137 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2138 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2238 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9911 - val_loss: 0.2291 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2250 - val_categorical_accuracy: 0.9630 - 980ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2174 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9912 - val_loss: 0.2278 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2200 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2345 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9908 - val_loss: 0.2272 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2345 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2338 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9909 - val_loss: 0.2401 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2270 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2358 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2279 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2266 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2286 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2250 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2353 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2468 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2217 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2285 - val_categorical_accuracy: 0.9645 - 950ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9910 - val_loss: 0.2327 - val_categorical_accuracy: 0.9630 - 950ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2344 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9911 - val_loss: 0.2379 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2312 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2335 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2409 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2320 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2386 - val_categorical_accuracy: 0.9645 - 910ms/epoch - 6ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9907 - val_loss: 0.2484 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2381 - val_categorical_accuracy: 0.9627 - 910ms/epoch - 6ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2499 - val_categorical_accuracy: 0.9580 - 910ms/epoch - 6ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9910 - val_loss: 0.2444 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.2403 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9909 - val_loss: 0.2321 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2286 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2436 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2451 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2343 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9914 - val_loss: 0.2314 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2380 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2578 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2388 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2521 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2352 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2328 - val_categorical_accuracy: 0.9646 - 910ms/epoch - 6ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2444 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9817 - val_loss: 0.2007 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.2082 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2144 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2213 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2329 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2268 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2279 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2676 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2298 - val_categorical_accuracy: 0.9646 - 910ms/epoch - 6ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2375 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2364 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2387 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9902 - val_loss: 0.2501 - val_categorical_accuracy: 0.9592 - 950ms/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2375 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2320 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2321 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2312 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9912 - val_loss: 0.2324 - val_categorical_accuracy: 0.9644 - 910ms/epoch - 6ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.3720 - val_categorical_accuracy: 0.9355 - 920ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9800 - val_loss: 0.1957 - val_categorical_accuracy: 0.9630 - 1s/epoch - 8ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9915 - val_loss: 0.2150 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.2132 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9917 - val_loss: 0.2243 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9913 - val_loss: 0.2210 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2320 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.2218 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2298 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.2219 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.2282 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9910 - val_loss: 0.2260 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2370 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2283 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2347 - val_categorical_accuracy: 0.9636 - 950ms/epoch - 7ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2408 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2320 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
processing fold # 3 
Epoch 1/1500
141/141 - 2s - loss: 1.9720 - categorical_accuracy: 0.2442 - val_loss: 1.9418 - val_categorical_accuracy: 0.2759 - 2s/epoch - 13ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6670 - categorical_accuracy: 0.3676 - val_loss: 1.4493 - val_categorical_accuracy: 0.4607 - 940ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.4823 - categorical_accuracy: 0.4423 - val_loss: 1.2467 - val_categorical_accuracy: 0.5148 - 930ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2486 - categorical_accuracy: 0.5338 - val_loss: 1.1918 - val_categorical_accuracy: 0.5602 - 940ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.1252 - categorical_accuracy: 0.5836 - val_loss: 1.0807 - val_categorical_accuracy: 0.5895 - 920ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.0108 - categorical_accuracy: 0.6280 - val_loss: 1.7226 - val_categorical_accuracy: 0.4746 - 930ms/epoch - 7ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8999 - categorical_accuracy: 0.6700 - val_loss: 0.8600 - val_categorical_accuracy: 0.6834 - 950ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.9604 - categorical_accuracy: 0.6577 - val_loss: 0.8321 - val_categorical_accuracy: 0.6729 - 920ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7783 - categorical_accuracy: 0.7151 - val_loss: 0.7205 - val_categorical_accuracy: 0.7351 - 930ms/epoch - 7ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7876 - categorical_accuracy: 0.7172 - val_loss: 0.6990 - val_categorical_accuracy: 0.7475 - 940ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6538 - categorical_accuracy: 0.7592 - val_loss: 0.6126 - val_categorical_accuracy: 0.7737 - 920ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6570 - categorical_accuracy: 0.7618 - val_loss: 0.6720 - val_categorical_accuracy: 0.7502 - 940ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5999 - categorical_accuracy: 0.7823 - val_loss: 0.5403 - val_categorical_accuracy: 0.8027 - 920ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5493 - categorical_accuracy: 0.7989 - val_loss: 0.4868 - val_categorical_accuracy: 0.8198 - 940ms/epoch - 7ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5151 - categorical_accuracy: 0.8115 - val_loss: 0.5415 - val_categorical_accuracy: 0.7953 - 920ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5597 - categorical_accuracy: 0.8003 - val_loss: 0.5194 - val_categorical_accuracy: 0.8069 - 920ms/epoch - 7ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.6433 - categorical_accuracy: 0.7801 - val_loss: 0.4511 - val_categorical_accuracy: 0.8294 - 940ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4566 - categorical_accuracy: 0.8338 - val_loss: 0.4671 - val_categorical_accuracy: 0.8282 - 930ms/epoch - 7ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4440 - categorical_accuracy: 0.8391 - val_loss: 0.3741 - val_categorical_accuracy: 0.8667 - 930ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4458 - categorical_accuracy: 0.8424 - val_loss: 0.4438 - val_categorical_accuracy: 0.8332 - 930ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.3992 - categorical_accuracy: 0.8549 - val_loss: 0.3849 - val_categorical_accuracy: 0.8568 - 920ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4405 - categorical_accuracy: 0.8471 - val_loss: 0.3854 - val_categorical_accuracy: 0.8647 - 930ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.3594 - categorical_accuracy: 0.8700 - val_loss: 0.3592 - val_categorical_accuracy: 0.8673 - 930ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3545 - categorical_accuracy: 0.8722 - val_loss: 0.3452 - val_categorical_accuracy: 0.8740 - 940ms/epoch - 7ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.4998 - categorical_accuracy: 0.8311 - val_loss: 0.3733 - val_categorical_accuracy: 0.8611 - 930ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3489 - categorical_accuracy: 0.8765 - val_loss: 0.5000 - val_categorical_accuracy: 0.8188 - 920ms/epoch - 7ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3080 - categorical_accuracy: 0.8892 - val_loss: 0.2971 - val_categorical_accuracy: 0.8936 - 950ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3977 - categorical_accuracy: 0.8658 - val_loss: 0.3376 - val_categorical_accuracy: 0.8849 - 910ms/epoch - 6ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.2963 - categorical_accuracy: 0.8949 - val_loss: 0.3071 - val_categorical_accuracy: 0.8899 - 930ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.2766 - categorical_accuracy: 0.9008 - val_loss: 0.3835 - val_categorical_accuracy: 0.8617 - 930ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4013 - categorical_accuracy: 0.8685 - val_loss: 0.3912 - val_categorical_accuracy: 0.8641 - 940ms/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.2774 - categorical_accuracy: 0.9018 - val_loss: 0.3273 - val_categorical_accuracy: 0.8832 - 930ms/epoch - 7ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3025 - categorical_accuracy: 0.8973 - val_loss: 0.2586 - val_categorical_accuracy: 0.9080 - 930ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2495 - categorical_accuracy: 0.9120 - val_loss: 0.2849 - val_categorical_accuracy: 0.8961 - 940ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2448 - categorical_accuracy: 0.9132 - val_loss: 0.2269 - val_categorical_accuracy: 0.9203 - 930ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2862 - categorical_accuracy: 0.9029 - val_loss: 0.2393 - val_categorical_accuracy: 0.9167 - 930ms/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2209 - categorical_accuracy: 0.9226 - val_loss: 0.2336 - val_categorical_accuracy: 0.9188 - 940ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2278 - categorical_accuracy: 0.9203 - val_loss: 0.2165 - val_categorical_accuracy: 0.9247 - 930ms/epoch - 7ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2946 - categorical_accuracy: 0.9052 - val_loss: 0.7454 - val_categorical_accuracy: 0.7432 - 930ms/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2487 - categorical_accuracy: 0.9141 - val_loss: 0.2356 - val_categorical_accuracy: 0.9159 - 920ms/epoch - 7ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2004 - categorical_accuracy: 0.9298 - val_loss: 0.2648 - val_categorical_accuracy: 0.9042 - 940ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2004 - categorical_accuracy: 0.9300 - val_loss: 0.2025 - val_categorical_accuracy: 0.9283 - 920ms/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2452 - categorical_accuracy: 0.9181 - val_loss: 0.2341 - val_categorical_accuracy: 0.9180 - 930ms/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.1861 - categorical_accuracy: 0.9352 - val_loss: 0.2079 - val_categorical_accuracy: 0.9267 - 930ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2046 - categorical_accuracy: 0.9300 - val_loss: 0.2089 - val_categorical_accuracy: 0.9282 - 920ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.1790 - categorical_accuracy: 0.9378 - val_loss: 0.1909 - val_categorical_accuracy: 0.9348 - 930ms/epoch - 7ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.1794 - categorical_accuracy: 0.9375 - val_loss: 0.1942 - val_categorical_accuracy: 0.9329 - 930ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.1872 - categorical_accuracy: 0.9349 - val_loss: 0.1976 - val_categorical_accuracy: 0.9320 - 960ms/epoch - 7ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.4551 - categorical_accuracy: 0.8612 - val_loss: 0.2236 - val_categorical_accuracy: 0.9237 - 930ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.1862 - categorical_accuracy: 0.9355 - val_loss: 0.2957 - val_categorical_accuracy: 0.8985 - 940ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.1794 - categorical_accuracy: 0.9374 - val_loss: 0.1872 - val_categorical_accuracy: 0.9362 - 940ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.1821 - categorical_accuracy: 0.9378 - val_loss: 0.2045 - val_categorical_accuracy: 0.9298 - 930ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.1595 - categorical_accuracy: 0.9446 - val_loss: 0.1815 - val_categorical_accuracy: 0.9377 - 930ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.1655 - categorical_accuracy: 0.9432 - val_loss: 0.2328 - val_categorical_accuracy: 0.9205 - 930ms/epoch - 7ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.1641 - categorical_accuracy: 0.9430 - val_loss: 0.1819 - val_categorical_accuracy: 0.9362 - 930ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.1504 - categorical_accuracy: 0.9486 - val_loss: 0.1797 - val_categorical_accuracy: 0.9369 - 920ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1502 - categorical_accuracy: 0.9485 - val_loss: 0.2570 - val_categorical_accuracy: 0.9151 - 920ms/epoch - 7ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.5055 - categorical_accuracy: 0.8387 - val_loss: 0.1903 - val_categorical_accuracy: 0.9335 - 920ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1550 - categorical_accuracy: 0.9465 - val_loss: 0.1885 - val_categorical_accuracy: 0.9341 - 930ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1562 - categorical_accuracy: 0.9460 - val_loss: 0.1929 - val_categorical_accuracy: 0.9314 - 930ms/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1415 - categorical_accuracy: 0.9511 - val_loss: 0.1629 - val_categorical_accuracy: 0.9447 - 940ms/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2190 - categorical_accuracy: 0.9300 - val_loss: 0.1736 - val_categorical_accuracy: 0.9417 - 920ms/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1345 - categorical_accuracy: 0.9543 - val_loss: 0.2475 - val_categorical_accuracy: 0.9203 - 930ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1387 - categorical_accuracy: 0.9528 - val_loss: 0.1643 - val_categorical_accuracy: 0.9455 - 930ms/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1412 - categorical_accuracy: 0.9518 - val_loss: 0.1533 - val_categorical_accuracy: 0.9485 - 930ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9581 - val_loss: 0.2039 - val_categorical_accuracy: 0.9320 - 920ms/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1519 - categorical_accuracy: 0.9494 - val_loss: 0.1549 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9594 - val_loss: 0.2727 - val_categorical_accuracy: 0.9025 - 940ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1448 - categorical_accuracy: 0.9518 - val_loss: 0.1513 - val_categorical_accuracy: 0.9477 - 930ms/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1180 - categorical_accuracy: 0.9598 - val_loss: 0.1515 - val_categorical_accuracy: 0.9488 - 920ms/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1270 - categorical_accuracy: 0.9567 - val_loss: 0.1676 - val_categorical_accuracy: 0.9428 - 930ms/epoch - 7ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1197 - categorical_accuracy: 0.9598 - val_loss: 0.1691 - val_categorical_accuracy: 0.9434 - 1s/epoch - 8ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.2041 - categorical_accuracy: 0.9373 - val_loss: 0.1426 - val_categorical_accuracy: 0.9522 - 930ms/epoch - 7ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1089 - categorical_accuracy: 0.9630 - val_loss: 0.1524 - val_categorical_accuracy: 0.9502 - 930ms/epoch - 7ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.3482 - categorical_accuracy: 0.8916 - val_loss: 0.4700 - val_categorical_accuracy: 0.8373 - 920ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1941 - categorical_accuracy: 0.9332 - val_loss: 0.1654 - val_categorical_accuracy: 0.9440 - 930ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1292 - categorical_accuracy: 0.9553 - val_loss: 0.1712 - val_categorical_accuracy: 0.9442 - 930ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9605 - val_loss: 0.1630 - val_categorical_accuracy: 0.9466 - 930ms/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1066 - categorical_accuracy: 0.9634 - val_loss: 0.1655 - val_categorical_accuracy: 0.9463 - 920ms/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1298 - categorical_accuracy: 0.9574 - val_loss: 0.1634 - val_categorical_accuracy: 0.9458 - 920ms/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1374 - categorical_accuracy: 0.9548 - val_loss: 0.1557 - val_categorical_accuracy: 0.9491 - 950ms/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9667 - val_loss: 0.1461 - val_categorical_accuracy: 0.9528 - 920ms/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9638 - val_loss: 0.1489 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9676 - val_loss: 0.2557 - val_categorical_accuracy: 0.9224 - 930ms/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1657 - categorical_accuracy: 0.9483 - val_loss: 0.1521 - val_categorical_accuracy: 0.9495 - 920ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9680 - val_loss: 0.1607 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9682 - val_loss: 0.1488 - val_categorical_accuracy: 0.9538 - 920ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1180 - categorical_accuracy: 0.9615 - val_loss: 0.1337 - val_categorical_accuracy: 0.9568 - 940ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9612 - val_loss: 0.1366 - val_categorical_accuracy: 0.9569 - 940ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9690 - val_loss: 0.1429 - val_categorical_accuracy: 0.9535 - 930ms/epoch - 7ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.0907 - categorical_accuracy: 0.9690 - val_loss: 0.1334 - val_categorical_accuracy: 0.9571 - 940ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9628 - val_loss: 0.1629 - val_categorical_accuracy: 0.9468 - 930ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9672 - val_loss: 0.1716 - val_categorical_accuracy: 0.9432 - 930ms/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1109 - categorical_accuracy: 0.9642 - val_loss: 0.1622 - val_categorical_accuracy: 0.9471 - 940ms/epoch - 7ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.0901 - categorical_accuracy: 0.9694 - val_loss: 0.2421 - val_categorical_accuracy: 0.9214 - 930ms/epoch - 7ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.0898 - categorical_accuracy: 0.9696 - val_loss: 0.1411 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9716 - val_loss: 0.1427 - val_categorical_accuracy: 0.9538 - 940ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1097 - categorical_accuracy: 0.9646 - val_loss: 0.1325 - val_categorical_accuracy: 0.9588 - 950ms/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9672 - val_loss: 0.1331 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1414 - categorical_accuracy: 0.9557 - val_loss: 0.1370 - val_categorical_accuracy: 0.9550 - 930ms/epoch - 7ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9726 - val_loss: 0.1407 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9714 - val_loss: 0.1343 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9705 - val_loss: 0.1398 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9721 - val_loss: 0.1371 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9676 - val_loss: 0.1338 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.0824 - categorical_accuracy: 0.9718 - val_loss: 0.1295 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9734 - val_loss: 0.1484 - val_categorical_accuracy: 0.9526 - 920ms/epoch - 7ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9736 - val_loss: 0.1376 - val_categorical_accuracy: 0.9580 - 940ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1023 - categorical_accuracy: 0.9673 - val_loss: 0.1344 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9744 - val_loss: 0.1283 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.0801 - categorical_accuracy: 0.9726 - val_loss: 0.1602 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9678 - val_loss: 0.1299 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9744 - val_loss: 0.1703 - val_categorical_accuracy: 0.9482 - 940ms/epoch - 7ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.0934 - categorical_accuracy: 0.9694 - val_loss: 0.1350 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9736 - val_loss: 0.1353 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.0815 - categorical_accuracy: 0.9728 - val_loss: 0.1375 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.0709 - categorical_accuracy: 0.9755 - val_loss: 0.1453 - val_categorical_accuracy: 0.9560 - 930ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1642 - categorical_accuracy: 0.9505 - val_loss: 0.1667 - val_categorical_accuracy: 0.9474 - 950ms/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9761 - val_loss: 0.1335 - val_categorical_accuracy: 0.9602 - 940ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0724 - categorical_accuracy: 0.9754 - val_loss: 0.1306 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.0724 - categorical_accuracy: 0.9751 - val_loss: 0.1421 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9747 - val_loss: 1.1447 - val_categorical_accuracy: 0.7573 - 930ms/epoch - 7ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.2269 - categorical_accuracy: 0.9320 - val_loss: 0.1548 - val_categorical_accuracy: 0.9532 - 930ms/epoch - 7ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9735 - val_loss: 0.1343 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9736 - val_loss: 0.1464 - val_categorical_accuracy: 0.9526 - 940ms/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0747 - categorical_accuracy: 0.9746 - val_loss: 0.1277 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9766 - val_loss: 0.1604 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9720 - val_loss: 0.1320 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9770 - val_loss: 0.1393 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9777 - val_loss: 0.1435 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1178 - categorical_accuracy: 0.9647 - val_loss: 0.1455 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9773 - val_loss: 0.1392 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9758 - val_loss: 0.1628 - val_categorical_accuracy: 0.9473 - 920ms/epoch - 7ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9731 - val_loss: 0.1368 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9783 - val_loss: 0.1369 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9777 - val_loss: 0.2290 - val_categorical_accuracy: 0.9286 - 920ms/epoch - 7ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9715 - val_loss: 0.1430 - val_categorical_accuracy: 0.9550 - 930ms/epoch - 7ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9712 - val_loss: 0.1287 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9787 - val_loss: 0.1429 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9777 - val_loss: 0.2001 - val_categorical_accuracy: 0.9394 - 930ms/epoch - 7ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9742 - val_loss: 0.1559 - val_categorical_accuracy: 0.9556 - 930ms/epoch - 7ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9771 - val_loss: 0.1318 - val_categorical_accuracy: 0.9593 - 930ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9788 - val_loss: 0.1471 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9775 - val_loss: 0.1399 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9776 - val_loss: 0.1576 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9765 - val_loss: 0.1383 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0997 - categorical_accuracy: 0.9686 - val_loss: 0.1340 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9790 - val_loss: 0.1319 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9800 - val_loss: 0.1405 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9780 - val_loss: 0.1334 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1025 - categorical_accuracy: 0.9678 - val_loss: 0.1415 - val_categorical_accuracy: 0.9559 - 930ms/epoch - 7ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9790 - val_loss: 0.1931 - val_categorical_accuracy: 0.9434 - 930ms/epoch - 7ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9794 - val_loss: 0.1318 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9791 - val_loss: 0.1437 - val_categorical_accuracy: 0.9595 - 914ms/epoch - 6ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9783 - val_loss: 0.1325 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9807 - val_loss: 0.1326 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9718 - val_loss: 0.1295 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0926 - categorical_accuracy: 0.9712 - val_loss: 0.1351 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9810 - val_loss: 0.1398 - val_categorical_accuracy: 0.9592 - 930ms/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9800 - val_loss: 0.1332 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0898 - categorical_accuracy: 0.9714 - val_loss: 0.1746 - val_categorical_accuracy: 0.9428 - 920ms/epoch - 7ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9793 - val_loss: 0.1255 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9792 - val_loss: 0.1333 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9786 - val_loss: 0.1267 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9807 - val_loss: 0.1380 - val_categorical_accuracy: 0.9621 - 950ms/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9796 - val_loss: 0.1438 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9795 - val_loss: 0.1582 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9799 - val_loss: 0.1349 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9786 - val_loss: 0.1441 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9758 - val_loss: 0.1275 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1295 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9812 - val_loss: 0.1448 - val_categorical_accuracy: 0.9605 - 950ms/epoch - 7ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9810 - val_loss: 0.1392 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9808 - val_loss: 0.1599 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9748 - val_loss: 0.1385 - val_categorical_accuracy: 0.9578 - 940ms/epoch - 7ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9807 - val_loss: 0.1332 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9805 - val_loss: 0.7500 - val_categorical_accuracy: 0.8436 - 940ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0969 - categorical_accuracy: 0.9703 - val_loss: 0.1336 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9812 - val_loss: 0.1549 - val_categorical_accuracy: 0.9552 - 950ms/epoch - 7ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9802 - val_loss: 0.1549 - val_categorical_accuracy: 0.9538 - 930ms/epoch - 7ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9806 - val_loss: 0.1429 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9806 - val_loss: 0.1398 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9766 - val_loss: 0.1324 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9812 - val_loss: 0.1444 - val_categorical_accuracy: 0.9588 - 920ms/epoch - 7ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9807 - val_loss: 0.1442 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.1395 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9810 - val_loss: 0.1730 - val_categorical_accuracy: 0.9520 - 930ms/epoch - 7ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9693 - val_loss: 0.1318 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9821 - val_loss: 0.1284 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9813 - val_loss: 0.1497 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9795 - val_loss: 0.1379 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9822 - val_loss: 0.1375 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9749 - val_loss: 0.1359 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9812 - val_loss: 0.1358 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9821 - val_loss: 0.1387 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9794 - val_loss: 0.1396 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9810 - val_loss: 0.1424 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9827 - val_loss: 0.1432 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.1331 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9751 - val_loss: 0.1293 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9789 - val_loss: 0.1232 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9828 - val_loss: 0.1384 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9825 - val_loss: 0.1408 - val_categorical_accuracy: 0.9592 - 920ms/epoch - 7ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9802 - val_loss: 0.2179 - val_categorical_accuracy: 0.9438 - 910ms/epoch - 6ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9772 - val_loss: 0.1290 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.1570 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.2087 - val_categorical_accuracy: 0.9486 - 920ms/epoch - 7ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9806 - val_loss: 0.1344 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9830 - val_loss: 0.1365 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9819 - val_loss: 0.2077 - val_categorical_accuracy: 0.9477 - 920ms/epoch - 7ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9815 - val_loss: 0.1740 - val_categorical_accuracy: 0.9554 - 930ms/epoch - 7ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1557 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9757 - val_loss: 0.1408 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9833 - val_loss: 0.1307 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9816 - val_loss: 0.1422 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1555 - val_categorical_accuracy: 0.9586 - 940ms/epoch - 7ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9811 - val_loss: 0.1373 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.1405 - val_categorical_accuracy: 0.9615 - 929ms/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.1487 - val_categorical_accuracy: 0.9593 - 950ms/epoch - 7ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9793 - val_loss: 0.1346 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9830 - val_loss: 0.1441 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9828 - val_loss: 0.1788 - val_categorical_accuracy: 0.9523 - 930ms/epoch - 7ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.1393 - categorical_accuracy: 0.9614 - val_loss: 0.2024 - val_categorical_accuracy: 0.9335 - 920ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9782 - val_loss: 0.1249 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9830 - val_loss: 0.1397 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9836 - val_loss: 0.1585 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.1405 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.1376 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1475 - val_categorical_accuracy: 0.9614 - 950ms/epoch - 7ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9824 - val_loss: 0.1404 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.1056 - categorical_accuracy: 0.9683 - val_loss: 0.1385 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.1306 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.1610 - val_categorical_accuracy: 0.9575 - 930ms/epoch - 7ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1346 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9826 - val_loss: 0.1419 - val_categorical_accuracy: 0.9628 - 924ms/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1418 - val_categorical_accuracy: 0.9626 - 950ms/epoch - 7ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9835 - val_loss: 0.1744 - val_categorical_accuracy: 0.9554 - 1s/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9772 - val_loss: 0.1460 - val_categorical_accuracy: 0.9603 - 1s/epoch - 7ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9826 - val_loss: 0.1379 - val_categorical_accuracy: 0.9652 - 1s/epoch - 8ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9827 - val_loss: 0.1533 - val_categorical_accuracy: 0.9593 - 1s/epoch - 8ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1434 - val_categorical_accuracy: 0.9621 - 983ms/epoch - 7ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9830 - val_loss: 0.1358 - val_categorical_accuracy: 0.9664 - 950ms/epoch - 7ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1401 - val_categorical_accuracy: 0.9644 - 950ms/epoch - 7ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.1406 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9801 - val_loss: 0.1322 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.1357 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1473 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9756 - val_loss: 0.1857 - val_categorical_accuracy: 0.9393 - 920ms/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9823 - val_loss: 0.1413 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0815 - categorical_accuracy: 0.9751 - val_loss: 0.1408 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.1256 - val_categorical_accuracy: 0.9684 - 940ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9840 - val_loss: 0.1397 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.1380 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1431 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9768 - val_loss: 0.1750 - val_categorical_accuracy: 0.9452 - 940ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9820 - val_loss: 0.1373 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9839 - val_loss: 0.1430 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1339 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1433 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1363 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1586 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9833 - val_loss: 0.1351 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9811 - val_loss: 0.1532 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1366 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1612 - val_categorical_accuracy: 0.9592 - 940ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9828 - val_loss: 0.1490 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.1366 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9839 - val_loss: 0.1411 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.1031 - categorical_accuracy: 0.9698 - val_loss: 0.1305 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9846 - val_loss: 0.1341 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.1431 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1549 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1464 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1472 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9815 - val_loss: 0.3573 - val_categorical_accuracy: 0.9056 - 920ms/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9802 - val_loss: 0.1524 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.1781 - val_categorical_accuracy: 0.9542 - 930ms/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9721 - val_loss: 0.1306 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9853 - val_loss: 0.1497 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.1362 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1447 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9768 - val_loss: 0.1355 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1585 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.1400 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9841 - val_loss: 0.1454 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1354 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.1559 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9845 - val_loss: 0.1429 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1599 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9842 - val_loss: 0.1381 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.1519 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0712 - categorical_accuracy: 0.9774 - val_loss: 0.1294 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9859 - val_loss: 0.1377 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9800 - val_loss: 0.1415 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1372 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1346 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1352 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1449 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.1421 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.1436 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9826 - val_loss: 0.1348 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1436 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.1597 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9846 - val_loss: 0.1476 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9790 - val_loss: 0.1380 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1499 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1436 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9843 - val_loss: 0.1381 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.1477 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.1354 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.1381 - val_categorical_accuracy: 0.9686 - 940ms/epoch - 7ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2080 - val_categorical_accuracy: 0.9520 - 940ms/epoch - 7ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9794 - val_loss: 0.1510 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1401 - val_categorical_accuracy: 0.9657 - 910ms/epoch - 6ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1509 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9850 - val_loss: 0.1506 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1414 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.1564 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9843 - val_loss: 0.1535 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.1407 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9828 - val_loss: 0.1527 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9855 - val_loss: 0.1724 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9854 - val_loss: 0.1389 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.1491 - val_categorical_accuracy: 0.9668 - 940ms/epoch - 7ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9796 - val_loss: 0.1389 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.1373 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.1418 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1538 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0714 - categorical_accuracy: 0.9774 - val_loss: 0.1407 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.1343 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1428 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1450 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9834 - val_loss: 0.1445 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1454 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9809 - val_loss: 0.1475 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.1376 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.1431 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1541 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1361 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1571 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1714 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.1535 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1593 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.1665 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.1607 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9841 - val_loss: 0.1586 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1527 - val_categorical_accuracy: 0.9637 - 924ms/epoch - 7ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0946 - categorical_accuracy: 0.9720 - val_loss: 0.1507 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1409 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1531 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9858 - val_loss: 0.1538 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.1408 - val_categorical_accuracy: 0.9667 - 910ms/epoch - 6ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1428 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1576 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1522 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1569 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1601 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9781 - val_loss: 0.1422 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1400 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1471 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1424 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.1580 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1449 - val_categorical_accuracy: 0.9664 - 940ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.1421 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9779 - val_loss: 0.1407 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1416 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1576 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.1593 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1461 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.1443 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1762 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1465 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1453 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9832 - val_loss: 0.2836 - val_categorical_accuracy: 0.9362 - 920ms/epoch - 7ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1717 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1517 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1452 - val_categorical_accuracy: 0.9667 - 950ms/epoch - 7ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.1540 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1918 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9839 - val_loss: 0.1569 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1710 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1525 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1658 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.1518 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1489 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1973 - val_categorical_accuracy: 0.9545 - 940ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1747 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9845 - val_loss: 0.1687 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1530 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1563 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1593 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9822 - val_loss: 0.1494 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.1440 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9863 - val_loss: 0.1482 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1437 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.1564 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1783 - val_categorical_accuracy: 0.9574 - 940ms/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9845 - val_loss: 0.1679 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1495 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1692 - val_categorical_accuracy: 0.9605 - 950ms/epoch - 7ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.1562 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1502 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1536 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.1601 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9870 - val_loss: 0.1626 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.1482 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1645 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1640 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.1072 - categorical_accuracy: 0.9699 - val_loss: 0.1438 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.1509 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1456 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.1524 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.1595 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9837 - val_loss: 0.1437 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.1487 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1483 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1540 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1596 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1770 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9865 - val_loss: 0.1489 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.1662 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9858 - val_loss: 0.1544 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1464 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1707 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9863 - val_loss: 0.1538 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1635 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1635 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2526 - val_categorical_accuracy: 0.9411 - 920ms/epoch - 7ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.1279 - categorical_accuracy: 0.9628 - val_loss: 0.1534 - val_categorical_accuracy: 0.9575 - 920ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1404 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1404 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1792 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1515 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1524 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1537 - val_categorical_accuracy: 0.9659 - 960ms/epoch - 7ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1555 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.1099 - categorical_accuracy: 0.9690 - val_loss: 0.1445 - val_categorical_accuracy: 0.9644 - 950ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1420 - val_categorical_accuracy: 0.9660 - 1s/epoch - 8ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1412 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.1497 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.1579 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1472 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1504 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1499 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9827 - val_loss: 0.1434 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1442 - val_categorical_accuracy: 0.9675 - 910ms/epoch - 6ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2839 - val_categorical_accuracy: 0.9303 - 930ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9848 - val_loss: 0.1537 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.1647 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1566 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1493 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.1492 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9843 - val_loss: 0.1647 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1491 - val_categorical_accuracy: 0.9678 - 940ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1464 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.1570 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1672 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1725 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1679 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.1479 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1617 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1692 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1572 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.1551 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1523 - val_categorical_accuracy: 0.9684 - 930ms/epoch - 7ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.1646 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9872 - val_loss: 0.1682 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.1588 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.1653 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1523 - val_categorical_accuracy: 0.9677 - 910ms/epoch - 6ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1612 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.1578 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.1613 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.1485 - categorical_accuracy: 0.9573 - val_loss: 0.2227 - val_categorical_accuracy: 0.9283 - 940ms/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9791 - val_loss: 0.1448 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9874 - val_loss: 0.1452 - val_categorical_accuracy: 0.9676 - 929ms/epoch - 7ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9881 - val_loss: 0.1557 - val_categorical_accuracy: 0.9629 - 924ms/epoch - 7ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9840 - val_loss: 0.1510 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.1480 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.1490 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1572 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9867 - val_loss: 0.1526 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1525 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1556 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1538 - val_categorical_accuracy: 0.9653 - 921ms/epoch - 7ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9786 - val_loss: 0.1412 - val_categorical_accuracy: 0.9678 - 920ms/epoch - 7ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1551 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.1501 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.1525 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1543 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1649 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1530 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.1634 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9870 - val_loss: 0.1621 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1607 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1619 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1600 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1727 - val_categorical_accuracy: 0.9612 - 950ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.1570 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9872 - val_loss: 0.1693 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1634 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.1732 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1528 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1619 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.1587 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1666 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1575 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1730 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.1721 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1863 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9848 - val_loss: 0.1571 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1717 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1688 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2326 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1567 - val_categorical_accuracy: 0.9680 - 940ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.1636 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9779 - val_loss: 0.1488 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.1494 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.1715 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1596 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1585 - val_categorical_accuracy: 0.9669 - 940ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9855 - val_loss: 0.1585 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1585 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1661 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.1584 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1525 - val_categorical_accuracy: 0.9683 - 930ms/epoch - 7ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.2505 - categorical_accuracy: 0.9274 - val_loss: 0.1718 - val_categorical_accuracy: 0.9512 - 940ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9830 - val_loss: 0.1479 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1495 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.1543 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.1523 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9871 - val_loss: 0.1637 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1546 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1719 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9880 - val_loss: 0.1536 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.1580 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.1556 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9773 - val_loss: 0.1516 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.1483 - val_categorical_accuracy: 0.9680 - 925ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.1615 - val_categorical_accuracy: 0.9648 - 915ms/epoch - 6ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.1905 - val_categorical_accuracy: 0.9581 - 940ms/epoch - 7ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9878 - val_loss: 0.1644 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1694 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1640 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.1557 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.1613 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9855 - val_loss: 0.1874 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.1810 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1630 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1591 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1666 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1582 - val_categorical_accuracy: 0.9678 - 940ms/epoch - 7ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.1687 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.1646 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1633 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1677 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.1671 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9862 - val_loss: 0.1752 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9875 - val_loss: 0.1658 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1656 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.1632 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9880 - val_loss: 0.1564 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.1718 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.1781 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.1734 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9865 - val_loss: 0.1783 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.1637 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9856 - val_loss: 0.1607 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1575 - val_categorical_accuracy: 0.9681 - 940ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1664 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1593 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9869 - val_loss: 0.1561 - val_categorical_accuracy: 0.9680 - 930ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1585 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1684 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.1816 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9883 - val_loss: 0.1737 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1609 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.1683 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9806 - val_loss: 0.1614 - val_categorical_accuracy: 0.9575 - 940ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1731 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1609 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1585 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.1743 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1629 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.1679 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9879 - val_loss: 0.1774 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.1617 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9866 - val_loss: 0.1667 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1652 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.1796 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.1729 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.1977 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1684 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1710 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.1635 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.1691 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.1630 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1766 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.1857 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9812 - val_loss: 0.1596 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1593 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.1580 - val_categorical_accuracy: 0.9664 - 940ms/epoch - 7ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1653 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.1612 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1599 - val_categorical_accuracy: 0.9682 - 920ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2008 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1677 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9884 - val_loss: 0.1690 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1684 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9817 - val_loss: 0.2164 - val_categorical_accuracy: 0.9421 - 920ms/epoch - 7ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1563 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.1667 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1601 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.1906 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.1622 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9887 - val_loss: 0.1659 - val_categorical_accuracy: 0.9675 - 950ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1584 - val_categorical_accuracy: 0.9679 - 940ms/epoch - 7ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9885 - val_loss: 0.1710 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.1663 - val_categorical_accuracy: 0.9672 - 960ms/epoch - 7ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1625 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.1734 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9803 - val_loss: 0.1598 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1576 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.1636 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1665 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1640 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.1582 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.1694 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.1588 - val_categorical_accuracy: 0.9687 - 930ms/epoch - 7ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1648 - val_categorical_accuracy: 0.9674 - 920ms/epoch - 7ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1678 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1759 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1791 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.1792 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1689 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.1696 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.1621 - val_categorical_accuracy: 0.9678 - 940ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.1736 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.1751 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1809 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9853 - val_loss: 0.1836 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1638 - val_categorical_accuracy: 0.9678 - 940ms/epoch - 7ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1659 - val_categorical_accuracy: 0.9677 - 960ms/epoch - 7ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1626 - val_categorical_accuracy: 0.9685 - 930ms/epoch - 7ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1697 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9776 - val_loss: 0.1548 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.1509 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1592 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1610 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9898 - val_loss: 0.1675 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1763 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1729 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1817 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1650 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1710 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1619 - val_categorical_accuracy: 0.9682 - 950ms/epoch - 7ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1646 - val_categorical_accuracy: 0.9672 - 950ms/epoch - 7ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.1737 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.1710 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1707 - val_categorical_accuracy: 0.9647 - 910ms/epoch - 6ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1708 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1700 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1751 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1684 - val_categorical_accuracy: 0.9664 - 950ms/epoch - 7ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.1684 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1813 - val_categorical_accuracy: 0.9641 - 950ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1745 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.1715 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.1828 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9874 - val_loss: 0.1789 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1676 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1758 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1701 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.1815 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.1799 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9877 - val_loss: 0.1726 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1756 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9889 - val_loss: 0.1907 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1993 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.1778 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.1735 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1835 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.1797 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.1983 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.1733 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1724 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1860 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1840 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1813 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1757 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.1980 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.1737 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1676 - val_categorical_accuracy: 0.9678 - 930ms/epoch - 7ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1906 - val_categorical_accuracy: 0.9635 - 927ms/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1819 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2639 - val_categorical_accuracy: 0.9436 - 920ms/epoch - 7ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1699 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.1693 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.1742 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1867 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1731 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.1785 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.1774 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1743 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9887 - val_loss: 0.1680 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.1903 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1777 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.1748 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.1875 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1920 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.1811 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1805 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.1725 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1824 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2208 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9839 - val_loss: 0.4315 - val_categorical_accuracy: 0.8693 - 930ms/epoch - 7ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1707 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.1775 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.1775 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.1768 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1824 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1639 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1742 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1950 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2051 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9804 - val_loss: 0.1541 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1588 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.1715 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.1678 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.1691 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.1703 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1718 - val_categorical_accuracy: 0.9681 - 930ms/epoch - 7ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1731 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9885 - val_loss: 0.1833 - val_categorical_accuracy: 0.9616 - 963ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.1863 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9893 - val_loss: 0.1911 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.1721 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1772 - val_categorical_accuracy: 0.9679 - 930ms/epoch - 7ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1906 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9806 - val_loss: 0.1773 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1675 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.1838 - val_categorical_accuracy: 0.9644 - 910ms/epoch - 6ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1716 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9899 - val_loss: 0.1663 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1801 - val_categorical_accuracy: 0.9652 - 923ms/epoch - 7ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.1647 - val_categorical_accuracy: 0.9680 - 970ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.1747 - val_categorical_accuracy: 0.9664 - 1s/epoch - 7ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1751 - val_categorical_accuracy: 0.9649 - 1s/epoch - 8ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1765 - val_categorical_accuracy: 0.9666 - 1s/epoch - 8ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1712 - val_categorical_accuracy: 0.9653 - 1s/epoch - 8ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.1922 - val_categorical_accuracy: 0.9614 - 1s/epoch - 8ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1734 - val_categorical_accuracy: 0.9669 - 1s/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1709 - val_categorical_accuracy: 0.9679 - 1s/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1785 - val_categorical_accuracy: 0.9651 - 1s/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.1736 - val_categorical_accuracy: 0.9666 - 950ms/epoch - 7ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1831 - val_categorical_accuracy: 0.9661 - 970ms/epoch - 7ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1763 - val_categorical_accuracy: 0.9669 - 940ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1759 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9762 - val_loss: 0.1607 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2169 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.1680 - val_categorical_accuracy: 0.9672 - 910ms/epoch - 6ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9901 - val_loss: 0.1816 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1730 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1716 - val_categorical_accuracy: 0.9681 - 920ms/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.1667 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.1765 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.1709 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.1807 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.1816 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1736 - val_categorical_accuracy: 0.9679 - 930ms/epoch - 7ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9809 - val_loss: 0.2407 - val_categorical_accuracy: 0.9501 - 930ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9874 - val_loss: 0.1754 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1684 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1685 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.1692 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.1677 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.1732 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2055 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.1694 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.1825 - val_categorical_accuracy: 0.9641 - 1s/epoch - 8ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.1789 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.1681 - val_categorical_accuracy: 0.9683 - 930ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.1750 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.1831 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1824 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1992 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1849 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.1745 - val_categorical_accuracy: 0.9681 - 940ms/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.1881 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.1833 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1895 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.1877 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.1935 - val_categorical_accuracy: 0.9625 - 950ms/epoch - 7ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1846 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.1812 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.1928 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9894 - val_loss: 0.1785 - val_categorical_accuracy: 0.9668 - 934ms/epoch - 7ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9900 - val_loss: 0.1822 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.1781 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.1846 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.1773 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1795 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1824 - val_categorical_accuracy: 0.9657 - 960ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9887 - val_loss: 0.1778 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.1932 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1988 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1914 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1895 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2031 - val_categorical_accuracy: 0.9615 - 940ms/epoch - 7ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1824 - val_categorical_accuracy: 0.9664 - 960ms/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9750 - val_loss: 0.1660 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.1715 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1712 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.3538 - val_categorical_accuracy: 0.9271 - 920ms/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9822 - val_loss: 0.1710 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1665 - val_categorical_accuracy: 0.9680 - 940ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.1717 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2060 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9879 - val_loss: 0.1677 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.1673 - val_categorical_accuracy: 0.9684 - 940ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.1764 - val_categorical_accuracy: 0.9671 - 950ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.1776 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2220 - val_categorical_accuracy: 0.9546 - 950ms/epoch - 7ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.1709 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.1786 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.1747 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1861 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1802 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1808 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2297 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.3709 - categorical_accuracy: 0.8943 - val_loss: 0.1825 - val_categorical_accuracy: 0.9481 - 930ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9822 - val_loss: 0.1539 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9869 - val_loss: 0.1468 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9887 - val_loss: 0.1545 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9885 - val_loss: 0.1913 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.1601 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.1689 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1604 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1692 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.1606 - val_categorical_accuracy: 0.9679 - 930ms/epoch - 7ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.1886 - val_categorical_accuracy: 0.9576 - 940ms/epoch - 7ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1643 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.1703 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.1736 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1801 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1774 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1766 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9895 - val_loss: 0.1707 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.1698 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1701 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.1725 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.1859 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1985 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1750 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.1767 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1760 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1812 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1939 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.1736 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.1835 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1840 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.1799 - val_categorical_accuracy: 0.9659 - 929ms/epoch - 7ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1836 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.1923 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.1814 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1770 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.1811 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.1951 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.1792 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1782 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1748 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1796 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.1941 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.1898 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1937 - val_categorical_accuracy: 0.9665 - 923ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.1865 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9716 - val_loss: 0.1577 - val_categorical_accuracy: 0.9667 - 940ms/epoch - 7ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.1703 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9902 - val_loss: 0.1663 - val_categorical_accuracy: 0.9680 - 920ms/epoch - 7ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9902 - val_loss: 0.1849 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.1847 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1823 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9902 - val_loss: 0.1837 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.1741 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1810 - val_categorical_accuracy: 0.9669 - 970ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9887 - val_loss: 0.2204 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1792 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.1710 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1802 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1853 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.1763 - val_categorical_accuracy: 0.9684 - 930ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1877 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.1870 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1771 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1780 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1744 - val_categorical_accuracy: 0.9685 - 930ms/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1876 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.1820 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9899 - val_loss: 0.2022 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1835 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9901 - val_loss: 0.1954 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.1996 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.1922 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1962 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2030 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.1740 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.1848 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2067 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1942 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9817 - val_loss: 0.1827 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.1857 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1851 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9903 - val_loss: 0.1871 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.1860 - val_categorical_accuracy: 0.9663 - 950ms/epoch - 7ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1763 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1826 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.1796 - val_categorical_accuracy: 0.9675 - 950ms/epoch - 7ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.1764 - val_categorical_accuracy: 0.9668 - 910ms/epoch - 6ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.1867 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1850 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1842 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1842 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1921 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1867 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1823 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9861 - val_loss: 0.2001 - val_categorical_accuracy: 0.9590 - 934ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1737 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1811 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9823 - val_loss: 0.1718 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.1648 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9904 - val_loss: 0.1721 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.1793 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1796 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.1811 - val_categorical_accuracy: 0.9662 - 950ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1977 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.1823 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1911 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2125 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.1745 - val_categorical_accuracy: 0.9680 - 930ms/epoch - 7ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9905 - val_loss: 0.1879 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1848 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1796 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1781 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.1904 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2014 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2112 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2424 - val_categorical_accuracy: 0.9544 - 920ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2033 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.1915 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.1849 - val_categorical_accuracy: 0.9657 - 950ms/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.1860 - val_categorical_accuracy: 0.9670 - 950ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1886 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.1963 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2070 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9831 - val_loss: 0.1720 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.1717 - val_categorical_accuracy: 0.9685 - 920ms/epoch - 7ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.1819 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.1776 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1947 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1942 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.1866 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.1896 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.1867 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.1836 - val_categorical_accuracy: 0.9669 - 940ms/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.1841 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9829 - val_loss: 0.2717 - val_categorical_accuracy: 0.9202 - 920ms/epoch - 7ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.1790 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9903 - val_loss: 0.1711 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9910 - val_loss: 0.1793 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.1826 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1876 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1876 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1863 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.1908 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9906 - val_loss: 0.1821 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1826 - val_categorical_accuracy: 0.9681 - 920ms/epoch - 7ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.1908 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1817 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.1857 - val_categorical_accuracy: 0.9681 - 920ms/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1979 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2051 - val_categorical_accuracy: 0.9651 - 960ms/epoch - 7ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9874 - val_loss: 0.2071 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1908 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1912 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1932 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1965 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1978 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.1944 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9898 - val_loss: 0.1944 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1985 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2043 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9906 - val_loss: 0.1878 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.1947 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1880 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9909 - val_loss: 0.1916 - val_categorical_accuracy: 0.9664 - 950ms/epoch - 7ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.1923 - val_categorical_accuracy: 0.9673 - 920ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.1819 - val_categorical_accuracy: 0.9686 - 920ms/epoch - 7ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1989 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1881 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9904 - val_loss: 0.1976 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1955 - val_categorical_accuracy: 0.9637 - 950ms/epoch - 7ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9901 - val_loss: 0.1863 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1959 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2016 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.1894 - val_categorical_accuracy: 0.9684 - 930ms/epoch - 7ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.1943 - val_categorical_accuracy: 0.9674 - 920ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1915 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.1943 - val_categorical_accuracy: 0.9668 - 940ms/epoch - 7ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2002 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2217 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1893 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9900 - val_loss: 0.2520 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1943 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2144 - val_categorical_accuracy: 0.9641 - 960ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2055 - val_categorical_accuracy: 0.9648 - 950ms/epoch - 7ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1916 - val_categorical_accuracy: 0.9649 - 950ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2017 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1914 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1973 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.1944 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.2058 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.2037 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2192 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1901 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2032 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2006 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2296 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1939 - val_categorical_accuracy: 0.9657 - 950ms/epoch - 7ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2063 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2003 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2031 - val_categorical_accuracy: 0.9654 - 950ms/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2016 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.1904 - val_categorical_accuracy: 0.9679 - 940ms/epoch - 7ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1884 - val_categorical_accuracy: 0.9673 - 920ms/epoch - 7ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1948 - val_categorical_accuracy: 0.9681 - 940ms/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1964 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2062 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.1940 - val_categorical_accuracy: 0.9664 - 950ms/epoch - 7ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1964 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2020 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.1993 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1960 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.1944 - val_categorical_accuracy: 0.9674 - 920ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.2052 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0977 - categorical_accuracy: 0.9724 - val_loss: 0.1708 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1802 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.1950 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9905 - val_loss: 0.2035 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.1929 - val_categorical_accuracy: 0.9660 - 935ms/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1977 - val_categorical_accuracy: 0.9625 - 931ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1976 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.1974 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1866 - val_categorical_accuracy: 0.9679 - 930ms/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1959 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2027 - val_categorical_accuracy: 0.9645 - 931ms/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1902 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1974 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.1964 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2184 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9902 - val_loss: 0.2055 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.2042 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2168 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1893 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.1900 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2068 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1852 - val_categorical_accuracy: 0.9688 - 920ms/epoch - 7ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1930 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2014 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2056 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.1910 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.1959 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.2032 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9901 - val_loss: 0.2088 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1962 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2076 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2011 - val_categorical_accuracy: 0.9672 - 950ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9785 - val_loss: 0.1802 - val_categorical_accuracy: 0.9525 - 940ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1814 - val_categorical_accuracy: 0.9635 - 960ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.1821 - val_categorical_accuracy: 0.9669 - 950ms/epoch - 7ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.1851 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9889 - val_loss: 0.1958 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2058 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.1833 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.1838 - val_categorical_accuracy: 0.9681 - 930ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.1964 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.1993 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2000 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1885 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.1947 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.1999 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.1905 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1884 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1985 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2057 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1990 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.1946 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.1936 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2011 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1916 - val_categorical_accuracy: 0.9662 - 960ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.1944 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2150 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.1949 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9907 - val_loss: 0.2111 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2232 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2061 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2058 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2009 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.1945 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2028 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2082 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2019 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.1966 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2100 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9815 - val_loss: 0.1812 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.1840 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1841 - val_categorical_accuracy: 0.9675 - 950ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1865 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.1966 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2022 - val_categorical_accuracy: 0.9649 - 939ms/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1931 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.1905 - val_categorical_accuracy: 0.9683 - 930ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1982 - val_categorical_accuracy: 0.9666 - 1s/epoch - 8ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1925 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1900 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1998 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2055 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2028 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2040 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.1940 - val_categorical_accuracy: 0.9681 - 940ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2201 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.2115 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9907 - val_loss: 0.2017 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2000 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2073 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2004 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2259 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1935 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.1976 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.1973 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.1982 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2014 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2053 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1965 - val_categorical_accuracy: 0.9668 - 960ms/epoch - 7ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.1999 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2101 - val_categorical_accuracy: 0.9654 - 950ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.1961 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2034 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2060 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9912 - val_loss: 0.2149 - val_categorical_accuracy: 0.9649 - 950ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2055 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9835 - val_loss: 0.2138 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1844 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9901 - val_loss: 0.1869 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.2093 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.1868 - val_categorical_accuracy: 0.9681 - 930ms/epoch - 7ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.1936 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1925 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.1902 - val_categorical_accuracy: 0.9671 - 910ms/epoch - 6ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2151 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1992 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2040 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2106 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9905 - val_loss: 0.2000 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2029 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2165 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9905 - val_loss: 0.2004 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.1926 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2022 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.1997 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.1988 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2118 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.1993 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9879 - val_loss: 0.1902 - val_categorical_accuracy: 0.9670 - 950ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1971 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2129 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.1980 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.1982 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2064 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2026 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.1976 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.1121 - categorical_accuracy: 0.9687 - val_loss: 0.1804 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.1774 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9913 - val_loss: 0.1789 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.1847 - val_categorical_accuracy: 0.9667 - 950ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.1942 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9914 - val_loss: 0.2024 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9915 - val_loss: 0.2043 - val_categorical_accuracy: 0.9652 - 950ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.1982 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2008 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1955 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.1907 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2009 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2000 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2111 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.2127 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2161 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2258 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1966 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2016 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2087 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2629 - val_categorical_accuracy: 0.9526 - 930ms/epoch - 7ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9822 - val_loss: 0.1885 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.1982 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2180 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.1891 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2029 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.1987 - val_categorical_accuracy: 0.9666 - 980ms/epoch - 7ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2014 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9902 - val_loss: 0.2006 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9913 - val_loss: 0.1933 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2045 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2080 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2099 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2154 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.1996 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9916 - val_loss: 0.2137 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2141 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9911 - val_loss: 0.2029 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1944 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9738 - val_loss: 0.1715 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.1689 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.1990 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.1873 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.1858 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.1944 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.1989 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2036 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.1983 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.1923 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1992 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9911 - val_loss: 0.2125 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2090 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1958 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2378 - val_categorical_accuracy: 0.9567 - 940ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9902 - val_loss: 0.2119 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1997 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2053 - val_categorical_accuracy: 0.9664 - 950ms/epoch - 7ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.2233 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.1934 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.1997 - val_categorical_accuracy: 0.9685 - 930ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2069 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2069 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2035 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2271 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.2068 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.1972 - val_categorical_accuracy: 0.9667 - 940ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.1995 - val_categorical_accuracy: 0.9655 - 950ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9912 - val_loss: 0.2098 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9911 - val_loss: 0.2165 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2225 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2072 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2094 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.1975 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2262 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9888 - val_loss: 0.5739 - val_categorical_accuracy: 0.8995 - 920ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.1339 - categorical_accuracy: 0.9620 - val_loss: 0.1775 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1805 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9914 - val_loss: 0.1931 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.1895 - val_categorical_accuracy: 0.9678 - 930ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.1948 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2053 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.1935 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2091 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2022 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2083 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2328 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1899 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.1933 - val_categorical_accuracy: 0.9673 - 910ms/epoch - 6ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2138 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9902 - val_loss: 0.1963 - val_categorical_accuracy: 0.9673 - 920ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2004 - val_categorical_accuracy: 0.9671 - 950ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2091 - val_categorical_accuracy: 0.9650 - 960ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2010 - val_categorical_accuracy: 0.9681 - 930ms/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2080 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.1987 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2117 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.1991 - val_categorical_accuracy: 0.9660 - 950ms/epoch - 7ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9912 - val_loss: 0.1990 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2042 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2059 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2154 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.2066 - val_categorical_accuracy: 0.9664 - 940ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2006 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.1637 - categorical_accuracy: 0.9552 - val_loss: 0.1662 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.1731 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.1793 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.1797 - val_categorical_accuracy: 0.9682 - 930ms/epoch - 7ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9918 - val_loss: 0.1888 - val_categorical_accuracy: 0.9678 - 920ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.1893 - val_categorical_accuracy: 0.9680 - 930ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.1968 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.1907 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9892 - val_loss: 0.1884 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2111 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.1877 - val_categorical_accuracy: 0.9680 - 950ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2017 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9919 - val_loss: 0.1981 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2171 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.1959 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2086 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2050 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2040 - val_categorical_accuracy: 0.9668 - 940ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2110 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2022 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2075 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2216 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2023 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2001 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2063 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2261 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2029 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2024 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2067 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2072 - val_categorical_accuracy: 0.9672 - 926ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2063 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9917 - val_loss: 0.2032 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2164 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9917 - val_loss: 0.2090 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2070 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.3114 - val_categorical_accuracy: 0.9450 - 920ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9825 - val_loss: 0.1805 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.1859 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.1959 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2099 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.1922 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.2078 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2086 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2080 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9920 - val_loss: 0.2018 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2081 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2056 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2084 - val_categorical_accuracy: 0.9679 - 930ms/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2028 - val_categorical_accuracy: 0.9675 - 920ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2024 - val_categorical_accuracy: 0.9673 - 920ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2050 - val_categorical_accuracy: 0.9674 - 920ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9914 - val_loss: 0.2089 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2094 - val_categorical_accuracy: 0.9662 - 970ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2092 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2003 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2027 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9846 - val_loss: 0.1784 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.1901 - val_categorical_accuracy: 0.9670 - 950ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.1859 - val_categorical_accuracy: 0.9683 - 920ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9919 - val_loss: 0.1929 - val_categorical_accuracy: 0.9680 - 920ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9920 - val_loss: 0.1952 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2017 - val_categorical_accuracy: 0.9676 - 950ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.1966 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2105 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2423 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.1889 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.2130 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2212 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9915 - val_loss: 0.2207 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2012 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2037 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2097 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9913 - val_loss: 0.1998 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9920 - val_loss: 0.2063 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2008 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2055 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.2081 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9919 - val_loss: 0.2082 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2158 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2112 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.1377 - categorical_accuracy: 0.9612 - val_loss: 0.1839 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.1794 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9917 - val_loss: 0.1846 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.1933 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9921 - val_loss: 0.1979 - val_categorical_accuracy: 0.9659 - 950ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.1936 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9919 - val_loss: 0.1997 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2055 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9909 - val_loss: 0.1947 - val_categorical_accuracy: 0.9677 - 940ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2039 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.1976 - val_categorical_accuracy: 0.9684 - 940ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9905 - val_loss: 0.1907 - val_categorical_accuracy: 0.9673 - 950ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2063 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.2052 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2205 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2114 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9913 - val_loss: 0.2129 - val_categorical_accuracy: 0.9666 - 950ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2018 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2000 - val_categorical_accuracy: 0.9680 - 950ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2000 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2161 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.2062 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2243 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2017 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2259 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9826 - val_loss: 0.2168 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9912 - val_loss: 0.2081 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9912 - val_loss: 0.1923 - val_categorical_accuracy: 0.9681 - 920ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.1910 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.1930 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.1968 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2084 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.2073 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2066 - val_categorical_accuracy: 0.9680 - 920ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2210 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2116 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2097 - val_categorical_accuracy: 0.9665 - 950ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2082 - val_categorical_accuracy: 0.9655 - 950ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2073 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9919 - val_loss: 0.2046 - val_categorical_accuracy: 0.9682 - 940ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2111 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9904 - val_loss: 0.2061 - val_categorical_accuracy: 0.9662 - 950ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2212 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2006 - val_categorical_accuracy: 0.9679 - 930ms/epoch - 7ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9915 - val_loss: 0.2258 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2082 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9917 - val_loss: 0.2143 - val_categorical_accuracy: 0.9674 - 920ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2044 - val_categorical_accuracy: 0.9661 - 910ms/epoch - 6ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9916 - val_loss: 0.2068 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2141 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2065 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2088 - val_categorical_accuracy: 0.9674 - 960ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2950 - val_categorical_accuracy: 0.9428 - 920ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0814 - categorical_accuracy: 0.9775 - val_loss: 0.1835 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9921 - val_loss: 0.1901 - val_categorical_accuracy: 0.9679 - 910ms/epoch - 6ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9894 - val_loss: 0.1851 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.1925 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.1990 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2015 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9920 - val_loss: 0.2074 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2022 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2120 - val_categorical_accuracy: 0.9645 - 950ms/epoch - 7ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2073 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9920 - val_loss: 0.2164 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2123 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.1984 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9921 - val_loss: 0.1999 - val_categorical_accuracy: 0.9680 - 930ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2293 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2207 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2153 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2145 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2204 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9921 - val_loss: 0.2101 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9918 - val_loss: 0.2041 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9918 - val_loss: 0.2214 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2187 - val_categorical_accuracy: 0.9628 - 950ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9903 - val_loss: 0.2036 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9912 - val_loss: 0.2007 - val_categorical_accuracy: 0.9681 - 929ms/epoch - 7ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2112 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9910 - val_loss: 0.2220 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.2002 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2054 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.2630 - val_categorical_accuracy: 0.9548 - 930ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9905 - val_loss: 0.2197 - val_categorical_accuracy: 0.9665 - 950ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2068 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9922 - val_loss: 0.2080 - val_categorical_accuracy: 0.9681 - 950ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9920 - val_loss: 0.2064 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.2118 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2084 - val_categorical_accuracy: 0.9668 - 940ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2133 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2137 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2167 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2190 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2212 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.1965 - val_categorical_accuracy: 0.9687 - 920ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9922 - val_loss: 0.2107 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2072 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9921 - val_loss: 0.2194 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2288 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9911 - val_loss: 0.5758 - val_categorical_accuracy: 0.9064 - 920ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9834 - val_loss: 0.1931 - val_categorical_accuracy: 0.9656 - 1s/epoch - 8ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9917 - val_loss: 0.1985 - val_categorical_accuracy: 0.9653 - 990ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2015 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2040 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9922 - val_loss: 0.1993 - val_categorical_accuracy: 0.9689 - 930ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2317 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9910 - val_loss: 0.2301 - val_categorical_accuracy: 0.9615 - 910ms/epoch - 6ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2097 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9923 - val_loss: 0.2056 - val_categorical_accuracy: 0.9683 - 930ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2019 - val_categorical_accuracy: 0.9678 - 930ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2096 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9922 - val_loss: 0.2120 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2196 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.2047 - val_categorical_accuracy: 0.9684 - 920ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9920 - val_loss: 0.2272 - val_categorical_accuracy: 0.9642 - 910ms/epoch - 6ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2090 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9893 - val_loss: 0.2055 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2037 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9912 - val_loss: 0.2035 - val_categorical_accuracy: 0.9680 - 940ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9919 - val_loss: 0.2099 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9922 - val_loss: 0.2158 - val_categorical_accuracy: 0.9673 - 920ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2043 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2203 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9917 - val_loss: 0.2071 - val_categorical_accuracy: 0.9689 - 940ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9845 - val_loss: 0.1923 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.1961 - val_categorical_accuracy: 0.9670 - 960ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2011 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.1996 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9921 - val_loss: 0.1980 - val_categorical_accuracy: 0.9682 - 940ms/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9924 - val_loss: 0.2081 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9910 - val_loss: 0.2080 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2057 - val_categorical_accuracy: 0.9686 - 930ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2061 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9921 - val_loss: 0.2118 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9922 - val_loss: 0.2076 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9919 - val_loss: 0.2068 - val_categorical_accuracy: 0.9687 - 940ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9922 - val_loss: 0.2151 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
processing fold # 4 
Epoch 1/1500
141/141 - 2s - loss: 1.9934 - categorical_accuracy: 0.2502 - val_loss: 2.0553 - val_categorical_accuracy: 0.2108 - 2s/epoch - 12ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6791 - categorical_accuracy: 0.3653 - val_loss: 1.3917 - val_categorical_accuracy: 0.4603 - 920ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3819 - categorical_accuracy: 0.4726 - val_loss: 1.2624 - val_categorical_accuracy: 0.5174 - 910ms/epoch - 6ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2286 - categorical_accuracy: 0.5361 - val_loss: 1.0565 - val_categorical_accuracy: 0.6069 - 910ms/epoch - 6ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.1305 - categorical_accuracy: 0.5751 - val_loss: 1.2410 - val_categorical_accuracy: 0.5223 - 923ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.0047 - categorical_accuracy: 0.6215 - val_loss: 0.8644 - val_categorical_accuracy: 0.6621 - 910ms/epoch - 6ms/step
Epoch 7/1500
141/141 - 1s - loss: 1.3376 - categorical_accuracy: 0.5088 - val_loss: 1.1219 - val_categorical_accuracy: 0.5889 - 910ms/epoch - 6ms/step
Epoch 8/1500
141/141 - 1s - loss: 1.0560 - categorical_accuracy: 0.6105 - val_loss: 0.8142 - val_categorical_accuracy: 0.6926 - 920ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.8896 - categorical_accuracy: 0.6687 - val_loss: 0.7335 - val_categorical_accuracy: 0.7208 - 910ms/epoch - 6ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7573 - categorical_accuracy: 0.7111 - val_loss: 0.7038 - val_categorical_accuracy: 0.7361 - 910ms/epoch - 6ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.7446 - categorical_accuracy: 0.7202 - val_loss: 0.6945 - val_categorical_accuracy: 0.7342 - 910ms/epoch - 6ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6751 - categorical_accuracy: 0.7441 - val_loss: 0.6734 - val_categorical_accuracy: 0.7473 - 920ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.6383 - categorical_accuracy: 0.7619 - val_loss: 0.6522 - val_categorical_accuracy: 0.7526 - 910ms/epoch - 6ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5934 - categorical_accuracy: 0.7787 - val_loss: 0.5483 - val_categorical_accuracy: 0.7893 - 910ms/epoch - 6ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5717 - categorical_accuracy: 0.7880 - val_loss: 0.6225 - val_categorical_accuracy: 0.7621 - 920ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5419 - categorical_accuracy: 0.7991 - val_loss: 0.5386 - val_categorical_accuracy: 0.8026 - 910ms/epoch - 6ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5706 - categorical_accuracy: 0.7975 - val_loss: 0.5039 - val_categorical_accuracy: 0.8135 - 910ms/epoch - 6ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4771 - categorical_accuracy: 0.8234 - val_loss: 1.5056 - val_categorical_accuracy: 0.6133 - 910ms/epoch - 6ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.5208 - categorical_accuracy: 0.8152 - val_loss: 0.4255 - val_categorical_accuracy: 0.8478 - 920ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.9649 - categorical_accuracy: 0.6645 - val_loss: 1.2627 - val_categorical_accuracy: 0.5418 - 920ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.7546 - categorical_accuracy: 0.7263 - val_loss: 0.5488 - val_categorical_accuracy: 0.7986 - 900ms/epoch - 6ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.5092 - categorical_accuracy: 0.8130 - val_loss: 0.4646 - val_categorical_accuracy: 0.8266 - 920ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4566 - categorical_accuracy: 0.8332 - val_loss: 0.6340 - val_categorical_accuracy: 0.7711 - 920ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.5139 - categorical_accuracy: 0.8235 - val_loss: 0.3875 - val_categorical_accuracy: 0.8584 - 910ms/epoch - 6ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3942 - categorical_accuracy: 0.8547 - val_loss: 0.3684 - val_categorical_accuracy: 0.8684 - 920ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.4079 - categorical_accuracy: 0.8548 - val_loss: 0.3827 - val_categorical_accuracy: 0.8552 - 900ms/epoch - 6ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3574 - categorical_accuracy: 0.8693 - val_loss: 0.4428 - val_categorical_accuracy: 0.8294 - 910ms/epoch - 6ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3529 - categorical_accuracy: 0.8729 - val_loss: 0.3167 - val_categorical_accuracy: 0.8864 - 920ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3408 - categorical_accuracy: 0.8765 - val_loss: 0.4689 - val_categorical_accuracy: 0.8253 - 950ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3054 - categorical_accuracy: 0.8897 - val_loss: 0.3821 - val_categorical_accuracy: 0.8572 - 910ms/epoch - 6ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3230 - categorical_accuracy: 0.8845 - val_loss: 0.3056 - val_categorical_accuracy: 0.8913 - 900ms/epoch - 6ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3002 - categorical_accuracy: 0.8920 - val_loss: 0.2725 - val_categorical_accuracy: 0.9061 - 910ms/epoch - 6ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3663 - categorical_accuracy: 0.8754 - val_loss: 0.2962 - val_categorical_accuracy: 0.8917 - 890ms/epoch - 6ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2753 - categorical_accuracy: 0.9008 - val_loss: 0.2702 - val_categorical_accuracy: 0.9050 - 900ms/epoch - 6ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2951 - categorical_accuracy: 0.8976 - val_loss: 0.2675 - val_categorical_accuracy: 0.9044 - 900ms/epoch - 6ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2636 - categorical_accuracy: 0.9056 - val_loss: 0.6335 - val_categorical_accuracy: 0.7843 - 910ms/epoch - 6ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2804 - categorical_accuracy: 0.9032 - val_loss: 0.2819 - val_categorical_accuracy: 0.8992 - 900ms/epoch - 6ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2436 - categorical_accuracy: 0.9124 - val_loss: 0.2973 - val_categorical_accuracy: 0.8942 - 900ms/epoch - 6ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2491 - categorical_accuracy: 0.9130 - val_loss: 0.2627 - val_categorical_accuracy: 0.9083 - 920ms/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2670 - categorical_accuracy: 0.9091 - val_loss: 0.2497 - val_categorical_accuracy: 0.9121 - 910ms/epoch - 6ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2238 - categorical_accuracy: 0.9209 - val_loss: 0.2926 - val_categorical_accuracy: 0.8953 - 900ms/epoch - 6ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2264 - categorical_accuracy: 0.9200 - val_loss: 0.2212 - val_categorical_accuracy: 0.9241 - 910ms/epoch - 6ms/step
Epoch 43/1500
141/141 - 1s - loss: 2.2648 - categorical_accuracy: 0.4718 - val_loss: 1.9964 - val_categorical_accuracy: 0.2130 - 920ms/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 1.8686 - categorical_accuracy: 0.2528 - val_loss: 1.7334 - val_categorical_accuracy: 0.3154 - 910ms/epoch - 6ms/step
Epoch 45/1500
141/141 - 1s - loss: 1.6510 - categorical_accuracy: 0.3510 - val_loss: 1.6083 - val_categorical_accuracy: 0.3611 - 900ms/epoch - 6ms/step
Epoch 46/1500
141/141 - 1s - loss: 1.5163 - categorical_accuracy: 0.4033 - val_loss: 1.4458 - val_categorical_accuracy: 0.4299 - 910ms/epoch - 6ms/step
Epoch 47/1500
141/141 - 1s - loss: 1.4098 - categorical_accuracy: 0.4380 - val_loss: 1.4574 - val_categorical_accuracy: 0.4064 - 910ms/epoch - 6ms/step
Epoch 48/1500
141/141 - 1s - loss: 1.3030 - categorical_accuracy: 0.4747 - val_loss: 1.3457 - val_categorical_accuracy: 0.4400 - 900ms/epoch - 6ms/step
Epoch 49/1500
141/141 - 1s - loss: 1.2552 - categorical_accuracy: 0.4977 - val_loss: 1.1377 - val_categorical_accuracy: 0.5409 - 920ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 1.2017 - categorical_accuracy: 0.5217 - val_loss: 1.1115 - val_categorical_accuracy: 0.5544 - 910ms/epoch - 6ms/step
Epoch 51/1500
141/141 - 1s - loss: 1.0940 - categorical_accuracy: 0.5644 - val_loss: 1.0618 - val_categorical_accuracy: 0.5766 - 910ms/epoch - 6ms/step
Epoch 52/1500
141/141 - 1s - loss: 1.1798 - categorical_accuracy: 0.5478 - val_loss: 1.0259 - val_categorical_accuracy: 0.5995 - 1s/epoch - 8ms/step
Epoch 53/1500
141/141 - 1s - loss: 1.1003 - categorical_accuracy: 0.5837 - val_loss: 0.9382 - val_categorical_accuracy: 0.6343 - 920ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.9257 - categorical_accuracy: 0.6410 - val_loss: 0.8742 - val_categorical_accuracy: 0.6590 - 900ms/epoch - 6ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.9409 - categorical_accuracy: 0.6448 - val_loss: 0.8248 - val_categorical_accuracy: 0.6779 - 900ms/epoch - 6ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.8286 - categorical_accuracy: 0.6790 - val_loss: 0.7868 - val_categorical_accuracy: 0.6933 - 920ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.8315 - categorical_accuracy: 0.6861 - val_loss: 0.8079 - val_categorical_accuracy: 0.6913 - 900ms/epoch - 6ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.8505 - categorical_accuracy: 0.6866 - val_loss: 0.7154 - val_categorical_accuracy: 0.7244 - 910ms/epoch - 6ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.7278 - categorical_accuracy: 0.7220 - val_loss: 0.6959 - val_categorical_accuracy: 0.7364 - 910ms/epoch - 6ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.7169 - categorical_accuracy: 0.7310 - val_loss: 0.7024 - val_categorical_accuracy: 0.7269 - 920ms/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.6670 - categorical_accuracy: 0.7487 - val_loss: 0.6665 - val_categorical_accuracy: 0.7475 - 910ms/epoch - 6ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.6463 - categorical_accuracy: 0.7569 - val_loss: 0.7654 - val_categorical_accuracy: 0.7148 - 910ms/epoch - 6ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.6656 - categorical_accuracy: 0.7566 - val_loss: 0.7586 - val_categorical_accuracy: 0.7215 - 920ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.6137 - categorical_accuracy: 0.7721 - val_loss: 0.5828 - val_categorical_accuracy: 0.7834 - 900ms/epoch - 6ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.5848 - categorical_accuracy: 0.7827 - val_loss: 0.7111 - val_categorical_accuracy: 0.7392 - 900ms/epoch - 6ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.5801 - categorical_accuracy: 0.7872 - val_loss: 0.5829 - val_categorical_accuracy: 0.7840 - 900ms/epoch - 6ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.5757 - categorical_accuracy: 0.7918 - val_loss: 0.5521 - val_categorical_accuracy: 0.8000 - 910ms/epoch - 6ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.5267 - categorical_accuracy: 0.8066 - val_loss: 0.5300 - val_categorical_accuracy: 0.8029 - 920ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.5168 - categorical_accuracy: 0.8106 - val_loss: 0.5112 - val_categorical_accuracy: 0.8122 - 910ms/epoch - 6ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.5703 - categorical_accuracy: 0.8020 - val_loss: 0.5733 - val_categorical_accuracy: 0.7870 - 924ms/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.5052 - categorical_accuracy: 0.8177 - val_loss: 0.5551 - val_categorical_accuracy: 0.8042 - 910ms/epoch - 6ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.4739 - categorical_accuracy: 0.8273 - val_loss: 0.4728 - val_categorical_accuracy: 0.8242 - 900ms/epoch - 6ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.4680 - categorical_accuracy: 0.8317 - val_loss: 0.4681 - val_categorical_accuracy: 0.8347 - 910ms/epoch - 6ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.4516 - categorical_accuracy: 0.8366 - val_loss: 0.4354 - val_categorical_accuracy: 0.8446 - 900ms/epoch - 6ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.5306 - categorical_accuracy: 0.8187 - val_loss: 0.5578 - val_categorical_accuracy: 0.8133 - 910ms/epoch - 6ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.4241 - categorical_accuracy: 0.8484 - val_loss: 0.4964 - val_categorical_accuracy: 0.8205 - 890ms/epoch - 6ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.4196 - categorical_accuracy: 0.8489 - val_loss: 0.4357 - val_categorical_accuracy: 0.8443 - 900ms/epoch - 6ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.4205 - categorical_accuracy: 0.8495 - val_loss: 0.4637 - val_categorical_accuracy: 0.8336 - 900ms/epoch - 6ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.4213 - categorical_accuracy: 0.8526 - val_loss: 0.4690 - val_categorical_accuracy: 0.8319 - 920ms/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.4095 - categorical_accuracy: 0.8541 - val_loss: 0.3663 - val_categorical_accuracy: 0.8704 - 920ms/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.3759 - categorical_accuracy: 0.8654 - val_loss: 0.3921 - val_categorical_accuracy: 0.8598 - 910ms/epoch - 6ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.4049 - categorical_accuracy: 0.8592 - val_loss: 0.3812 - val_categorical_accuracy: 0.8661 - 910ms/epoch - 6ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.3668 - categorical_accuracy: 0.8692 - val_loss: 0.3718 - val_categorical_accuracy: 0.8659 - 910ms/epoch - 6ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.3660 - categorical_accuracy: 0.8702 - val_loss: 0.3816 - val_categorical_accuracy: 0.8629 - 920ms/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.3677 - categorical_accuracy: 0.8733 - val_loss: 0.4188 - val_categorical_accuracy: 0.8511 - 910ms/epoch - 6ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.3423 - categorical_accuracy: 0.8784 - val_loss: 0.3771 - val_categorical_accuracy: 0.8663 - 900ms/epoch - 6ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.3588 - categorical_accuracy: 0.8752 - val_loss: 0.3520 - val_categorical_accuracy: 0.8772 - 920ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.3247 - categorical_accuracy: 0.8846 - val_loss: 0.4379 - val_categorical_accuracy: 0.8454 - 900ms/epoch - 6ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.3290 - categorical_accuracy: 0.8837 - val_loss: 0.3484 - val_categorical_accuracy: 0.8758 - 890ms/epoch - 6ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.5469 - categorical_accuracy: 0.8284 - val_loss: 0.4819 - val_categorical_accuracy: 0.8285 - 890ms/epoch - 6ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.3302 - categorical_accuracy: 0.8848 - val_loss: 0.3470 - val_categorical_accuracy: 0.8777 - 930ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.3114 - categorical_accuracy: 0.8902 - val_loss: 0.3292 - val_categorical_accuracy: 0.8853 - 910ms/epoch - 6ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.3232 - categorical_accuracy: 0.8880 - val_loss: 0.4526 - val_categorical_accuracy: 0.8358 - 900ms/epoch - 6ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.2986 - categorical_accuracy: 0.8952 - val_loss: 0.3235 - val_categorical_accuracy: 0.8888 - 930ms/epoch - 7ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.3041 - categorical_accuracy: 0.8948 - val_loss: 0.3386 - val_categorical_accuracy: 0.8832 - 900ms/epoch - 6ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.2929 - categorical_accuracy: 0.8976 - val_loss: 0.3295 - val_categorical_accuracy: 0.8868 - 920ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.2965 - categorical_accuracy: 0.8970 - val_loss: 0.3181 - val_categorical_accuracy: 0.8915 - 910ms/epoch - 6ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.2768 - categorical_accuracy: 0.9024 - val_loss: 0.3220 - val_categorical_accuracy: 0.8881 - 930ms/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.2964 - categorical_accuracy: 0.8975 - val_loss: 0.3374 - val_categorical_accuracy: 0.8823 - 900ms/epoch - 6ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.2679 - categorical_accuracy: 0.9063 - val_loss: 0.3402 - val_categorical_accuracy: 0.8781 - 910ms/epoch - 6ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.3406 - categorical_accuracy: 0.8899 - val_loss: 0.5558 - val_categorical_accuracy: 0.8058 - 920ms/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.2674 - categorical_accuracy: 0.9075 - val_loss: 0.2898 - val_categorical_accuracy: 0.8992 - 900ms/epoch - 6ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.2499 - categorical_accuracy: 0.9126 - val_loss: 0.2801 - val_categorical_accuracy: 0.9034 - 910ms/epoch - 6ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.2548 - categorical_accuracy: 0.9114 - val_loss: 0.3186 - val_categorical_accuracy: 0.8903 - 920ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.2698 - categorical_accuracy: 0.9079 - val_loss: 0.2891 - val_categorical_accuracy: 0.8992 - 900ms/epoch - 6ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.2499 - categorical_accuracy: 0.9128 - val_loss: 0.3491 - val_categorical_accuracy: 0.8795 - 890ms/epoch - 6ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.2525 - categorical_accuracy: 0.9128 - val_loss: 0.3086 - val_categorical_accuracy: 0.8953 - 890ms/epoch - 6ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.2426 - categorical_accuracy: 0.9151 - val_loss: 0.2835 - val_categorical_accuracy: 0.9028 - 920ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.2744 - categorical_accuracy: 0.9102 - val_loss: 0.2869 - val_categorical_accuracy: 0.9039 - 900ms/epoch - 6ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.2281 - categorical_accuracy: 0.9200 - val_loss: 0.2977 - val_categorical_accuracy: 0.8940 - 910ms/epoch - 6ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.2310 - categorical_accuracy: 0.9198 - val_loss: 0.3039 - val_categorical_accuracy: 0.8931 - 920ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.2990 - categorical_accuracy: 0.9017 - val_loss: 0.2906 - val_categorical_accuracy: 0.9010 - 900ms/epoch - 6ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.2183 - categorical_accuracy: 0.9245 - val_loss: 0.3036 - val_categorical_accuracy: 0.8956 - 900ms/epoch - 6ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.2584 - categorical_accuracy: 0.9144 - val_loss: 0.2853 - val_categorical_accuracy: 0.9022 - 900ms/epoch - 6ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.2159 - categorical_accuracy: 0.9250 - val_loss: 0.2724 - val_categorical_accuracy: 0.9058 - 910ms/epoch - 6ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.2110 - categorical_accuracy: 0.9268 - val_loss: 0.5942 - val_categorical_accuracy: 0.8220 - 900ms/epoch - 6ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.2340 - categorical_accuracy: 0.9209 - val_loss: 0.2540 - val_categorical_accuracy: 0.9133 - 900ms/epoch - 6ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.2272 - categorical_accuracy: 0.9223 - val_loss: 0.2437 - val_categorical_accuracy: 0.9175 - 920ms/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.2039 - categorical_accuracy: 0.9294 - val_loss: 0.2544 - val_categorical_accuracy: 0.9115 - 900ms/epoch - 6ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.2058 - categorical_accuracy: 0.9290 - val_loss: 0.2604 - val_categorical_accuracy: 0.9126 - 910ms/epoch - 6ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.2229 - categorical_accuracy: 0.9240 - val_loss: 0.2552 - val_categorical_accuracy: 0.9118 - 900ms/epoch - 6ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.2011 - categorical_accuracy: 0.9308 - val_loss: 0.2536 - val_categorical_accuracy: 0.9137 - 910ms/epoch - 6ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1997 - categorical_accuracy: 0.9304 - val_loss: 0.3687 - val_categorical_accuracy: 0.8791 - 910ms/epoch - 6ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1959 - categorical_accuracy: 0.9326 - val_loss: 0.2717 - val_categorical_accuracy: 0.9077 - 920ms/epoch - 7ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1921 - categorical_accuracy: 0.9334 - val_loss: 0.3014 - val_categorical_accuracy: 0.9004 - 920ms/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.2009 - categorical_accuracy: 0.9304 - val_loss: 0.2904 - val_categorical_accuracy: 0.8993 - 920ms/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1985 - categorical_accuracy: 0.9318 - val_loss: 0.4417 - val_categorical_accuracy: 0.8540 - 910ms/epoch - 6ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.2168 - categorical_accuracy: 0.9271 - val_loss: 0.2587 - val_categorical_accuracy: 0.9099 - 900ms/epoch - 6ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.2203 - categorical_accuracy: 0.9269 - val_loss: 0.2571 - val_categorical_accuracy: 0.9126 - 920ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1780 - categorical_accuracy: 0.9391 - val_loss: 0.2615 - val_categorical_accuracy: 0.9087 - 890ms/epoch - 6ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1772 - categorical_accuracy: 0.9388 - val_loss: 0.3976 - val_categorical_accuracy: 0.8667 - 900ms/epoch - 6ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1831 - categorical_accuracy: 0.9370 - val_loss: 0.2840 - val_categorical_accuracy: 0.9068 - 920ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1830 - categorical_accuracy: 0.9372 - val_loss: 0.2870 - val_categorical_accuracy: 0.9040 - 910ms/epoch - 6ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.2053 - categorical_accuracy: 0.9316 - val_loss: 0.2351 - val_categorical_accuracy: 0.9205 - 910ms/epoch - 6ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1716 - categorical_accuracy: 0.9408 - val_loss: 0.2358 - val_categorical_accuracy: 0.9200 - 920ms/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1922 - categorical_accuracy: 0.9354 - val_loss: 0.2271 - val_categorical_accuracy: 0.9233 - 900ms/epoch - 6ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.2014 - categorical_accuracy: 0.9332 - val_loss: 0.2883 - val_categorical_accuracy: 0.9013 - 900ms/epoch - 6ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1724 - categorical_accuracy: 0.9407 - val_loss: 0.2219 - val_categorical_accuracy: 0.9253 - 900ms/epoch - 6ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1766 - categorical_accuracy: 0.9402 - val_loss: 0.2546 - val_categorical_accuracy: 0.9160 - 910ms/epoch - 6ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1620 - categorical_accuracy: 0.9441 - val_loss: 0.2460 - val_categorical_accuracy: 0.9174 - 900ms/epoch - 6ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1865 - categorical_accuracy: 0.9378 - val_loss: 0.2336 - val_categorical_accuracy: 0.9228 - 900ms/epoch - 6ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1754 - categorical_accuracy: 0.9404 - val_loss: 0.2257 - val_categorical_accuracy: 0.9229 - 920ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.2683 - categorical_accuracy: 0.9191 - val_loss: 0.2491 - val_categorical_accuracy: 0.9152 - 920ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1567 - categorical_accuracy: 0.9460 - val_loss: 0.2551 - val_categorical_accuracy: 0.9176 - 900ms/epoch - 6ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1666 - categorical_accuracy: 0.9426 - val_loss: 0.2202 - val_categorical_accuracy: 0.9275 - 900ms/epoch - 6ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1744 - categorical_accuracy: 0.9406 - val_loss: 0.2279 - val_categorical_accuracy: 0.9239 - 910ms/epoch - 6ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1496 - categorical_accuracy: 0.9489 - val_loss: 0.2483 - val_categorical_accuracy: 0.9173 - 910ms/epoch - 6ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1689 - categorical_accuracy: 0.9426 - val_loss: 0.2337 - val_categorical_accuracy: 0.9231 - 900ms/epoch - 6ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1516 - categorical_accuracy: 0.9478 - val_loss: 0.2630 - val_categorical_accuracy: 0.9143 - 920ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1597 - categorical_accuracy: 0.9445 - val_loss: 0.2429 - val_categorical_accuracy: 0.9191 - 890ms/epoch - 6ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1555 - categorical_accuracy: 0.9461 - val_loss: 0.2921 - val_categorical_accuracy: 0.9048 - 910ms/epoch - 6ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1633 - categorical_accuracy: 0.9456 - val_loss: 0.2530 - val_categorical_accuracy: 0.9161 - 900ms/epoch - 6ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1749 - categorical_accuracy: 0.9425 - val_loss: 0.2121 - val_categorical_accuracy: 0.9305 - 920ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1404 - categorical_accuracy: 0.9517 - val_loss: 0.2121 - val_categorical_accuracy: 0.9307 - 910ms/epoch - 6ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.1613 - categorical_accuracy: 0.9460 - val_loss: 0.2295 - val_categorical_accuracy: 0.9251 - 910ms/epoch - 6ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.1464 - categorical_accuracy: 0.9493 - val_loss: 0.2432 - val_categorical_accuracy: 0.9196 - 980ms/epoch - 7ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.1498 - categorical_accuracy: 0.9484 - val_loss: 0.2131 - val_categorical_accuracy: 0.9293 - 1s/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.1480 - categorical_accuracy: 0.9493 - val_loss: 0.2255 - val_categorical_accuracy: 0.9271 - 1s/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1788 - categorical_accuracy: 0.9424 - val_loss: 0.2201 - val_categorical_accuracy: 0.9297 - 1s/epoch - 8ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.1894 - categorical_accuracy: 0.9402 - val_loss: 0.2151 - val_categorical_accuracy: 0.9290 - 1s/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.1414 - categorical_accuracy: 0.9511 - val_loss: 0.2775 - val_categorical_accuracy: 0.9096 - 1s/epoch - 7ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1498 - categorical_accuracy: 0.9497 - val_loss: 0.2116 - val_categorical_accuracy: 0.9324 - 1s/epoch - 8ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.2045 - categorical_accuracy: 0.9365 - val_loss: 0.2258 - val_categorical_accuracy: 0.9238 - 1s/epoch - 8ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1332 - categorical_accuracy: 0.9546 - val_loss: 0.2154 - val_categorical_accuracy: 0.9302 - 1s/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1352 - categorical_accuracy: 0.9537 - val_loss: 0.2332 - val_categorical_accuracy: 0.9247 - 1s/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1343 - categorical_accuracy: 0.9537 - val_loss: 0.2271 - val_categorical_accuracy: 0.9247 - 1s/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1572 - categorical_accuracy: 0.9477 - val_loss: 0.2179 - val_categorical_accuracy: 0.9282 - 1s/epoch - 7ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.1335 - categorical_accuracy: 0.9541 - val_loss: 0.2131 - val_categorical_accuracy: 0.9308 - 1s/epoch - 8ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.1280 - categorical_accuracy: 0.9560 - val_loss: 0.2129 - val_categorical_accuracy: 0.9321 - 1s/epoch - 7ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1420 - categorical_accuracy: 0.9519 - val_loss: 0.2088 - val_categorical_accuracy: 0.9329 - 1s/epoch - 7ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1569 - categorical_accuracy: 0.9483 - val_loss: 0.2205 - val_categorical_accuracy: 0.9298 - 1s/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.1231 - categorical_accuracy: 0.9576 - val_loss: 0.3759 - val_categorical_accuracy: 0.8847 - 1s/epoch - 7ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1421 - categorical_accuracy: 0.9521 - val_loss: 0.2102 - val_categorical_accuracy: 0.9325 - 924ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1304 - categorical_accuracy: 0.9553 - val_loss: 0.2128 - val_categorical_accuracy: 0.9321 - 890ms/epoch - 6ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9593 - val_loss: 0.2146 - val_categorical_accuracy: 0.9303 - 910ms/epoch - 6ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.1272 - categorical_accuracy: 0.9562 - val_loss: 0.3802 - val_categorical_accuracy: 0.8782 - 900ms/epoch - 6ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.1415 - categorical_accuracy: 0.9533 - val_loss: 0.2442 - val_categorical_accuracy: 0.9230 - 910ms/epoch - 6ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9583 - val_loss: 0.2033 - val_categorical_accuracy: 0.9368 - 920ms/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.1616 - categorical_accuracy: 0.9469 - val_loss: 0.2577 - val_categorical_accuracy: 0.9156 - 900ms/epoch - 6ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.1226 - categorical_accuracy: 0.9580 - val_loss: 0.2632 - val_categorical_accuracy: 0.9167 - 900ms/epoch - 6ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1231 - categorical_accuracy: 0.9578 - val_loss: 0.2090 - val_categorical_accuracy: 0.9349 - 900ms/epoch - 6ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.1225 - categorical_accuracy: 0.9579 - val_loss: 0.2403 - val_categorical_accuracy: 0.9262 - 900ms/epoch - 6ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.1255 - categorical_accuracy: 0.9569 - val_loss: 0.2090 - val_categorical_accuracy: 0.9345 - 900ms/epoch - 6ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.1698 - categorical_accuracy: 0.9466 - val_loss: 0.2091 - val_categorical_accuracy: 0.9331 - 910ms/epoch - 6ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.1323 - categorical_accuracy: 0.9565 - val_loss: 0.2807 - val_categorical_accuracy: 0.9068 - 920ms/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.1150 - categorical_accuracy: 0.9608 - val_loss: 0.2052 - val_categorical_accuracy: 0.9369 - 900ms/epoch - 6ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.1265 - categorical_accuracy: 0.9567 - val_loss: 0.2090 - val_categorical_accuracy: 0.9347 - 910ms/epoch - 6ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.1452 - categorical_accuracy: 0.9534 - val_loss: 0.1993 - val_categorical_accuracy: 0.9379 - 910ms/epoch - 6ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.1251 - categorical_accuracy: 0.9576 - val_loss: 0.1910 - val_categorical_accuracy: 0.9399 - 900ms/epoch - 6ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.1118 - categorical_accuracy: 0.9615 - val_loss: 0.2156 - val_categorical_accuracy: 0.9329 - 890ms/epoch - 6ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.1211 - categorical_accuracy: 0.9587 - val_loss: 0.2116 - val_categorical_accuracy: 0.9332 - 910ms/epoch - 6ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9625 - val_loss: 0.2147 - val_categorical_accuracy: 0.9332 - 920ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9589 - val_loss: 0.2225 - val_categorical_accuracy: 0.9302 - 900ms/epoch - 6ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.1477 - categorical_accuracy: 0.9525 - val_loss: 0.2085 - val_categorical_accuracy: 0.9359 - 900ms/epoch - 6ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.1221 - categorical_accuracy: 0.9587 - val_loss: 0.1978 - val_categorical_accuracy: 0.9393 - 920ms/epoch - 7ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.1086 - categorical_accuracy: 0.9628 - val_loss: 0.2112 - val_categorical_accuracy: 0.9365 - 910ms/epoch - 6ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.1049 - categorical_accuracy: 0.9643 - val_loss: 0.2252 - val_categorical_accuracy: 0.9303 - 890ms/epoch - 6ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.1293 - categorical_accuracy: 0.9561 - val_loss: 0.2300 - val_categorical_accuracy: 0.9277 - 900ms/epoch - 6ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.1065 - categorical_accuracy: 0.9633 - val_loss: 0.1953 - val_categorical_accuracy: 0.9406 - 910ms/epoch - 6ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.1136 - categorical_accuracy: 0.9614 - val_loss: 0.2172 - val_categorical_accuracy: 0.9331 - 913ms/epoch - 6ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.1166 - categorical_accuracy: 0.9601 - val_loss: 0.2172 - val_categorical_accuracy: 0.9309 - 900ms/epoch - 6ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.1087 - categorical_accuracy: 0.9627 - val_loss: 0.2039 - val_categorical_accuracy: 0.9366 - 910ms/epoch - 6ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.1113 - categorical_accuracy: 0.9618 - val_loss: 0.4453 - val_categorical_accuracy: 0.8858 - 900ms/epoch - 6ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.1477 - categorical_accuracy: 0.9536 - val_loss: 0.1970 - val_categorical_accuracy: 0.9398 - 900ms/epoch - 6ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.1568 - categorical_accuracy: 0.9518 - val_loss: 0.1871 - val_categorical_accuracy: 0.9399 - 900ms/epoch - 6ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0996 - categorical_accuracy: 0.9663 - val_loss: 0.2060 - val_categorical_accuracy: 0.9359 - 920ms/epoch - 7ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.1273 - categorical_accuracy: 0.9590 - val_loss: 0.1999 - val_categorical_accuracy: 0.9385 - 900ms/epoch - 6ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.1350 - categorical_accuracy: 0.9578 - val_loss: 0.1974 - val_categorical_accuracy: 0.9381 - 910ms/epoch - 6ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9643 - val_loss: 0.2129 - val_categorical_accuracy: 0.9361 - 910ms/epoch - 6ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.1008 - categorical_accuracy: 0.9657 - val_loss: 0.2245 - val_categorical_accuracy: 0.9302 - 900ms/epoch - 6ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0969 - categorical_accuracy: 0.9669 - val_loss: 0.2239 - val_categorical_accuracy: 0.9326 - 910ms/epoch - 6ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.1043 - categorical_accuracy: 0.9646 - val_loss: 0.2172 - val_categorical_accuracy: 0.9329 - 910ms/epoch - 6ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.1167 - categorical_accuracy: 0.9609 - val_loss: 0.2160 - val_categorical_accuracy: 0.9339 - 940ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9632 - val_loss: 0.2573 - val_categorical_accuracy: 0.9233 - 900ms/epoch - 6ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9624 - val_loss: 0.2347 - val_categorical_accuracy: 0.9298 - 900ms/epoch - 6ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0949 - categorical_accuracy: 0.9675 - val_loss: 0.2127 - val_categorical_accuracy: 0.9362 - 910ms/epoch - 6ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.1406 - categorical_accuracy: 0.9544 - val_loss: 0.2048 - val_categorical_accuracy: 0.9349 - 900ms/epoch - 6ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9676 - val_loss: 0.2089 - val_categorical_accuracy: 0.9374 - 910ms/epoch - 6ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.1193 - categorical_accuracy: 0.9604 - val_loss: 0.2151 - val_categorical_accuracy: 0.9346 - 900ms/epoch - 6ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9675 - val_loss: 0.2130 - val_categorical_accuracy: 0.9376 - 900ms/epoch - 6ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.1229 - categorical_accuracy: 0.9601 - val_loss: 0.1953 - val_categorical_accuracy: 0.9403 - 900ms/epoch - 6ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0907 - categorical_accuracy: 0.9695 - val_loss: 0.2055 - val_categorical_accuracy: 0.9391 - 910ms/epoch - 6ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.1314 - categorical_accuracy: 0.9593 - val_loss: 0.1894 - val_categorical_accuracy: 0.9429 - 920ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0907 - categorical_accuracy: 0.9691 - val_loss: 0.2183 - val_categorical_accuracy: 0.9327 - 910ms/epoch - 6ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9629 - val_loss: 0.2037 - val_categorical_accuracy: 0.9381 - 900ms/epoch - 6ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0919 - categorical_accuracy: 0.9688 - val_loss: 0.2051 - val_categorical_accuracy: 0.9397 - 890ms/epoch - 6ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0935 - categorical_accuracy: 0.9682 - val_loss: 0.2269 - val_categorical_accuracy: 0.9310 - 900ms/epoch - 6ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9676 - val_loss: 0.2180 - val_categorical_accuracy: 0.9349 - 900ms/epoch - 6ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.1740 - categorical_accuracy: 0.9486 - val_loss: 0.2002 - val_categorical_accuracy: 0.9389 - 890ms/epoch - 6ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9676 - val_loss: 0.2064 - val_categorical_accuracy: 0.9378 - 910ms/epoch - 6ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9690 - val_loss: 0.1994 - val_categorical_accuracy: 0.9415 - 910ms/epoch - 6ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0902 - categorical_accuracy: 0.9692 - val_loss: 0.2617 - val_categorical_accuracy: 0.9235 - 900ms/epoch - 6ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.1329 - categorical_accuracy: 0.9590 - val_loss: 0.2129 - val_categorical_accuracy: 0.9365 - 910ms/epoch - 6ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9659 - val_loss: 0.2031 - val_categorical_accuracy: 0.9393 - 900ms/epoch - 6ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0892 - categorical_accuracy: 0.9696 - val_loss: 0.3554 - val_categorical_accuracy: 0.9004 - 910ms/epoch - 6ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.1281 - categorical_accuracy: 0.9592 - val_loss: 0.2018 - val_categorical_accuracy: 0.9395 - 900ms/epoch - 6ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9628 - val_loss: 0.2099 - val_categorical_accuracy: 0.9370 - 920ms/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0892 - categorical_accuracy: 0.9696 - val_loss: 0.1952 - val_categorical_accuracy: 0.9431 - 910ms/epoch - 6ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9717 - val_loss: 0.2190 - val_categorical_accuracy: 0.9374 - 900ms/epoch - 6ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.1198 - categorical_accuracy: 0.9616 - val_loss: 0.2197 - val_categorical_accuracy: 0.9346 - 910ms/epoch - 6ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9706 - val_loss: 0.2192 - val_categorical_accuracy: 0.9359 - 910ms/epoch - 6ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.1112 - categorical_accuracy: 0.9637 - val_loss: 0.2232 - val_categorical_accuracy: 0.9328 - 910ms/epoch - 6ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9706 - val_loss: 0.2046 - val_categorical_accuracy: 0.9402 - 910ms/epoch - 6ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.1179 - categorical_accuracy: 0.9627 - val_loss: 0.2065 - val_categorical_accuracy: 0.9359 - 910ms/epoch - 6ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0832 - categorical_accuracy: 0.9720 - val_loss: 0.2117 - val_categorical_accuracy: 0.9398 - 920ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0983 - categorical_accuracy: 0.9666 - val_loss: 0.2159 - val_categorical_accuracy: 0.9357 - 900ms/epoch - 6ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9712 - val_loss: 0.1915 - val_categorical_accuracy: 0.9471 - 920ms/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9690 - val_loss: 0.2106 - val_categorical_accuracy: 0.9375 - 910ms/epoch - 6ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.1118 - categorical_accuracy: 0.9640 - val_loss: 0.1971 - val_categorical_accuracy: 0.9435 - 910ms/epoch - 6ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9713 - val_loss: 0.2122 - val_categorical_accuracy: 0.9390 - 910ms/epoch - 6ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.1064 - categorical_accuracy: 0.9647 - val_loss: 0.1942 - val_categorical_accuracy: 0.9448 - 930ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9699 - val_loss: 0.2025 - val_categorical_accuracy: 0.9419 - 900ms/epoch - 6ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9682 - val_loss: 0.2062 - val_categorical_accuracy: 0.9403 - 900ms/epoch - 6ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9715 - val_loss: 0.2081 - val_categorical_accuracy: 0.9410 - 910ms/epoch - 6ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0825 - categorical_accuracy: 0.9719 - val_loss: 0.2057 - val_categorical_accuracy: 0.9400 - 890ms/epoch - 6ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.1688 - categorical_accuracy: 0.9513 - val_loss: 0.2036 - val_categorical_accuracy: 0.9355 - 900ms/epoch - 6ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0855 - categorical_accuracy: 0.9710 - val_loss: 0.1906 - val_categorical_accuracy: 0.9453 - 900ms/epoch - 6ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9730 - val_loss: 0.2040 - val_categorical_accuracy: 0.9429 - 910ms/epoch - 6ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9728 - val_loss: 0.2191 - val_categorical_accuracy: 0.9395 - 890ms/epoch - 6ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.1097 - categorical_accuracy: 0.9645 - val_loss: 0.2620 - val_categorical_accuracy: 0.9266 - 900ms/epoch - 6ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9725 - val_loss: 0.2068 - val_categorical_accuracy: 0.9427 - 920ms/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9709 - val_loss: 0.2116 - val_categorical_accuracy: 0.9392 - 910ms/epoch - 6ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9706 - val_loss: 0.2181 - val_categorical_accuracy: 0.9382 - 910ms/epoch - 6ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0882 - categorical_accuracy: 0.9696 - val_loss: 0.2497 - val_categorical_accuracy: 0.9306 - 910ms/epoch - 6ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9702 - val_loss: 0.2025 - val_categorical_accuracy: 0.9432 - 910ms/epoch - 6ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9731 - val_loss: 0.2183 - val_categorical_accuracy: 0.9395 - 900ms/epoch - 6ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9720 - val_loss: 0.2098 - val_categorical_accuracy: 0.9431 - 900ms/epoch - 6ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9725 - val_loss: 0.2151 - val_categorical_accuracy: 0.9394 - 920ms/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0893 - categorical_accuracy: 0.9693 - val_loss: 0.2161 - val_categorical_accuracy: 0.9380 - 900ms/epoch - 6ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0784 - categorical_accuracy: 0.9728 - val_loss: 0.3007 - val_categorical_accuracy: 0.9234 - 900ms/epoch - 6ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9619 - val_loss: 0.2004 - val_categorical_accuracy: 0.9435 - 910ms/epoch - 6ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0791 - categorical_accuracy: 0.9731 - val_loss: 0.2090 - val_categorical_accuracy: 0.9428 - 910ms/epoch - 6ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9738 - val_loss: 0.2181 - val_categorical_accuracy: 0.9401 - 910ms/epoch - 6ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0784 - categorical_accuracy: 0.9730 - val_loss: 0.2941 - val_categorical_accuracy: 0.9193 - 900ms/epoch - 6ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.1304 - categorical_accuracy: 0.9599 - val_loss: 0.1992 - val_categorical_accuracy: 0.9436 - 920ms/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0838 - categorical_accuracy: 0.9714 - val_loss: 0.2214 - val_categorical_accuracy: 0.9361 - 900ms/epoch - 6ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9741 - val_loss: 0.1967 - val_categorical_accuracy: 0.9462 - 900ms/epoch - 6ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9732 - val_loss: 0.2285 - val_categorical_accuracy: 0.9364 - 910ms/epoch - 6ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.1034 - categorical_accuracy: 0.9664 - val_loss: 0.2013 - val_categorical_accuracy: 0.9442 - 900ms/epoch - 6ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9744 - val_loss: 0.2180 - val_categorical_accuracy: 0.9386 - 920ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.1285 - categorical_accuracy: 0.9613 - val_loss: 0.2200 - val_categorical_accuracy: 0.9393 - 910ms/epoch - 6ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9744 - val_loss: 0.1983 - val_categorical_accuracy: 0.9450 - 920ms/epoch - 7ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0724 - categorical_accuracy: 0.9756 - val_loss: 0.1940 - val_categorical_accuracy: 0.9467 - 910ms/epoch - 6ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0790 - categorical_accuracy: 0.9727 - val_loss: 0.2060 - val_categorical_accuracy: 0.9429 - 900ms/epoch - 6ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9743 - val_loss: 0.2163 - val_categorical_accuracy: 0.9401 - 920ms/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.1553 - categorical_accuracy: 0.9559 - val_loss: 0.2371 - val_categorical_accuracy: 0.9265 - 900ms/epoch - 6ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9712 - val_loss: 0.1934 - val_categorical_accuracy: 0.9459 - 910ms/epoch - 6ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0762 - categorical_accuracy: 0.9738 - val_loss: 0.2045 - val_categorical_accuracy: 0.9437 - 900ms/epoch - 6ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.1049 - categorical_accuracy: 0.9661 - val_loss: 0.2035 - val_categorical_accuracy: 0.9433 - 920ms/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9757 - val_loss: 0.2112 - val_categorical_accuracy: 0.9419 - 920ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9737 - val_loss: 0.8173 - val_categorical_accuracy: 0.8056 - 910ms/epoch - 6ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.1387 - categorical_accuracy: 0.9598 - val_loss: 0.2478 - val_categorical_accuracy: 0.9341 - 930ms/epoch - 7ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9755 - val_loss: 0.1950 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9750 - val_loss: 0.2156 - val_categorical_accuracy: 0.9413 - 910ms/epoch - 6ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9735 - val_loss: 0.2114 - val_categorical_accuracy: 0.9411 - 910ms/epoch - 6ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.1283 - categorical_accuracy: 0.9618 - val_loss: 0.1981 - val_categorical_accuracy: 0.9427 - 910ms/epoch - 6ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9758 - val_loss: 0.2040 - val_categorical_accuracy: 0.9429 - 920ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9757 - val_loss: 0.2107 - val_categorical_accuracy: 0.9413 - 910ms/epoch - 6ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9738 - val_loss: 0.2960 - val_categorical_accuracy: 0.9185 - 910ms/epoch - 6ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.1046 - categorical_accuracy: 0.9660 - val_loss: 0.1911 - val_categorical_accuracy: 0.9462 - 910ms/epoch - 6ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9757 - val_loss: 0.2101 - val_categorical_accuracy: 0.9437 - 920ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9761 - val_loss: 0.2228 - val_categorical_accuracy: 0.9398 - 910ms/epoch - 6ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9723 - val_loss: 0.1976 - val_categorical_accuracy: 0.9455 - 910ms/epoch - 6ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9764 - val_loss: 0.1997 - val_categorical_accuracy: 0.9471 - 910ms/epoch - 6ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9735 - val_loss: 0.2565 - val_categorical_accuracy: 0.9337 - 910ms/epoch - 6ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9712 - val_loss: 0.2327 - val_categorical_accuracy: 0.9367 - 930ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.1185 - categorical_accuracy: 0.9627 - val_loss: 0.2068 - val_categorical_accuracy: 0.9414 - 910ms/epoch - 6ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9764 - val_loss: 0.2022 - val_categorical_accuracy: 0.9461 - 920ms/epoch - 7ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9763 - val_loss: 0.2078 - val_categorical_accuracy: 0.9445 - 920ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9734 - val_loss: 0.2326 - val_categorical_accuracy: 0.9375 - 910ms/epoch - 6ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9757 - val_loss: 0.2096 - val_categorical_accuracy: 0.9432 - 910ms/epoch - 6ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.1168 - categorical_accuracy: 0.9648 - val_loss: 0.2048 - val_categorical_accuracy: 0.9416 - 910ms/epoch - 6ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9752 - val_loss: 0.2113 - val_categorical_accuracy: 0.9425 - 920ms/epoch - 7ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9771 - val_loss: 0.1945 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9749 - val_loss: 0.2130 - val_categorical_accuracy: 0.9422 - 900ms/epoch - 6ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9759 - val_loss: 0.2164 - val_categorical_accuracy: 0.9420 - 930ms/epoch - 7ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9751 - val_loss: 0.2150 - val_categorical_accuracy: 0.9426 - 910ms/epoch - 6ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9759 - val_loss: 0.2041 - val_categorical_accuracy: 0.9469 - 910ms/epoch - 6ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9759 - val_loss: 0.2068 - val_categorical_accuracy: 0.9454 - 910ms/epoch - 6ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9760 - val_loss: 0.2294 - val_categorical_accuracy: 0.9401 - 910ms/epoch - 6ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9750 - val_loss: 0.2076 - val_categorical_accuracy: 0.9470 - 910ms/epoch - 6ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0747 - categorical_accuracy: 0.9742 - val_loss: 0.2055 - val_categorical_accuracy: 0.9452 - 900ms/epoch - 6ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.1030 - categorical_accuracy: 0.9677 - val_loss: 0.2157 - val_categorical_accuracy: 0.9420 - 920ms/epoch - 7ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9768 - val_loss: 0.2089 - val_categorical_accuracy: 0.9458 - 900ms/epoch - 6ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9772 - val_loss: 0.2236 - val_categorical_accuracy: 0.9402 - 900ms/epoch - 6ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9769 - val_loss: 0.2103 - val_categorical_accuracy: 0.9441 - 930ms/epoch - 7ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.1219 - categorical_accuracy: 0.9629 - val_loss: 0.2316 - val_categorical_accuracy: 0.9334 - 900ms/epoch - 6ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9766 - val_loss: 0.2351 - val_categorical_accuracy: 0.9392 - 910ms/epoch - 6ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9774 - val_loss: 0.2327 - val_categorical_accuracy: 0.9388 - 910ms/epoch - 6ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9745 - val_loss: 0.2296 - val_categorical_accuracy: 0.9405 - 930ms/epoch - 7ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9770 - val_loss: 0.2123 - val_categorical_accuracy: 0.9462 - 920ms/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9771 - val_loss: 0.2431 - val_categorical_accuracy: 0.9385 - 919ms/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9710 - val_loss: 0.2348 - val_categorical_accuracy: 0.9386 - 920ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.1387 - categorical_accuracy: 0.9602 - val_loss: 0.2284 - val_categorical_accuracy: 0.9387 - 910ms/epoch - 6ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9778 - val_loss: 0.2119 - val_categorical_accuracy: 0.9450 - 910ms/epoch - 6ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9778 - val_loss: 0.1997 - val_categorical_accuracy: 0.9481 - 900ms/epoch - 6ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9727 - val_loss: 0.2047 - val_categorical_accuracy: 0.9457 - 910ms/epoch - 6ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9779 - val_loss: 0.2265 - val_categorical_accuracy: 0.9403 - 910ms/epoch - 6ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9737 - val_loss: 0.2223 - val_categorical_accuracy: 0.9409 - 890ms/epoch - 6ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9760 - val_loss: 0.2027 - val_categorical_accuracy: 0.9471 - 910ms/epoch - 6ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9781 - val_loss: 0.2264 - val_categorical_accuracy: 0.9400 - 890ms/epoch - 6ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9760 - val_loss: 0.2116 - val_categorical_accuracy: 0.9472 - 900ms/epoch - 6ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9782 - val_loss: 0.2074 - val_categorical_accuracy: 0.9471 - 890ms/epoch - 6ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.1044 - categorical_accuracy: 0.9679 - val_loss: 0.2560 - val_categorical_accuracy: 0.9234 - 920ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9758 - val_loss: 0.1996 - val_categorical_accuracy: 0.9481 - 910ms/epoch - 6ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9686 - val_loss: 0.1951 - val_categorical_accuracy: 0.9474 - 900ms/epoch - 6ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9781 - val_loss: 0.2018 - val_categorical_accuracy: 0.9484 - 920ms/epoch - 7ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9776 - val_loss: 0.2221 - val_categorical_accuracy: 0.9426 - 910ms/epoch - 6ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9772 - val_loss: 0.2040 - val_categorical_accuracy: 0.9484 - 910ms/epoch - 6ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.1361 - categorical_accuracy: 0.9608 - val_loss: 0.1970 - val_categorical_accuracy: 0.9451 - 910ms/epoch - 6ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9780 - val_loss: 0.1959 - val_categorical_accuracy: 0.9491 - 890ms/epoch - 6ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9777 - val_loss: 0.2163 - val_categorical_accuracy: 0.9415 - 910ms/epoch - 6ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9780 - val_loss: 0.2251 - val_categorical_accuracy: 0.9415 - 910ms/epoch - 6ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9770 - val_loss: 0.2013 - val_categorical_accuracy: 0.9490 - 910ms/epoch - 6ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9755 - val_loss: 0.2054 - val_categorical_accuracy: 0.9461 - 900ms/epoch - 6ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9782 - val_loss: 0.2160 - val_categorical_accuracy: 0.9442 - 910ms/epoch - 6ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9776 - val_loss: 0.1983 - val_categorical_accuracy: 0.9517 - 910ms/epoch - 6ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.1448 - categorical_accuracy: 0.9591 - val_loss: 0.1962 - val_categorical_accuracy: 0.9482 - 900ms/epoch - 6ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9775 - val_loss: 0.2026 - val_categorical_accuracy: 0.9481 - 900ms/epoch - 6ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9788 - val_loss: 0.2019 - val_categorical_accuracy: 0.9496 - 900ms/epoch - 6ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9697 - val_loss: 0.1957 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9777 - val_loss: 0.2067 - val_categorical_accuracy: 0.9468 - 900ms/epoch - 6ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9788 - val_loss: 0.2082 - val_categorical_accuracy: 0.9472 - 910ms/epoch - 6ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9768 - val_loss: 0.2027 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9792 - val_loss: 0.2455 - val_categorical_accuracy: 0.9385 - 900ms/epoch - 6ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9763 - val_loss: 0.2084 - val_categorical_accuracy: 0.9478 - 900ms/epoch - 6ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9782 - val_loss: 0.2053 - val_categorical_accuracy: 0.9503 - 900ms/epoch - 6ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9704 - val_loss: 0.2443 - val_categorical_accuracy: 0.9377 - 900ms/epoch - 6ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9782 - val_loss: 0.1941 - val_categorical_accuracy: 0.9501 - 900ms/epoch - 6ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9788 - val_loss: 0.2139 - val_categorical_accuracy: 0.9467 - 900ms/epoch - 6ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9697 - val_loss: 0.1945 - val_categorical_accuracy: 0.9476 - 920ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9784 - val_loss: 0.2049 - val_categorical_accuracy: 0.9478 - 910ms/epoch - 6ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9790 - val_loss: 0.2732 - val_categorical_accuracy: 0.9326 - 900ms/epoch - 6ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9780 - val_loss: 0.2077 - val_categorical_accuracy: 0.9462 - 900ms/epoch - 6ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.1014 - categorical_accuracy: 0.9690 - val_loss: 0.2098 - val_categorical_accuracy: 0.9451 - 920ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9796 - val_loss: 0.2105 - val_categorical_accuracy: 0.9457 - 910ms/epoch - 6ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9785 - val_loss: 0.2146 - val_categorical_accuracy: 0.9460 - 900ms/epoch - 6ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9789 - val_loss: 0.2015 - val_categorical_accuracy: 0.9499 - 910ms/epoch - 6ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9773 - val_loss: 0.2160 - val_categorical_accuracy: 0.9462 - 890ms/epoch - 6ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9785 - val_loss: 0.2227 - val_categorical_accuracy: 0.9466 - 890ms/epoch - 6ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9783 - val_loss: 0.2294 - val_categorical_accuracy: 0.9441 - 900ms/epoch - 6ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9771 - val_loss: 0.2010 - val_categorical_accuracy: 0.9488 - 900ms/epoch - 6ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9789 - val_loss: 0.2376 - val_categorical_accuracy: 0.9395 - 900ms/epoch - 6ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9782 - val_loss: 0.2300 - val_categorical_accuracy: 0.9429 - 910ms/epoch - 6ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9796 - val_loss: 0.2080 - val_categorical_accuracy: 0.9497 - 920ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9788 - val_loss: 0.2210 - val_categorical_accuracy: 0.9451 - 910ms/epoch - 6ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9785 - val_loss: 0.2139 - val_categorical_accuracy: 0.9454 - 900ms/epoch - 6ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9766 - val_loss: 0.2278 - val_categorical_accuracy: 0.9433 - 900ms/epoch - 6ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9656 - val_loss: 0.2541 - val_categorical_accuracy: 0.9345 - 900ms/epoch - 6ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9788 - val_loss: 0.2008 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9799 - val_loss: 0.2283 - val_categorical_accuracy: 0.9418 - 900ms/epoch - 6ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9792 - val_loss: 0.2022 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9783 - val_loss: 0.2024 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.3945 - categorical_accuracy: 0.8864 - val_loss: 0.2055 - val_categorical_accuracy: 0.9410 - 1s/epoch - 8ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9733 - val_loss: 0.2072 - val_categorical_accuracy: 0.9442 - 910ms/epoch - 6ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9684 - val_loss: 0.2111 - val_categorical_accuracy: 0.9419 - 900ms/epoch - 6ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9780 - val_loss: 0.1991 - val_categorical_accuracy: 0.9485 - 900ms/epoch - 6ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9784 - val_loss: 0.4761 - val_categorical_accuracy: 0.9181 - 897ms/epoch - 6ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9776 - val_loss: 0.2012 - val_categorical_accuracy: 0.9486 - 910ms/epoch - 6ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9797 - val_loss: 0.2015 - val_categorical_accuracy: 0.9499 - 900ms/epoch - 6ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9796 - val_loss: 0.2066 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9784 - val_loss: 0.2135 - val_categorical_accuracy: 0.9455 - 920ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9712 - val_loss: 0.2523 - val_categorical_accuracy: 0.9285 - 910ms/epoch - 6ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9772 - val_loss: 0.2209 - val_categorical_accuracy: 0.9427 - 910ms/epoch - 6ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9795 - val_loss: 0.2060 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9699 - val_loss: 0.2118 - val_categorical_accuracy: 0.9418 - 920ms/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9797 - val_loss: 0.2003 - val_categorical_accuracy: 0.9493 - 900ms/epoch - 6ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9800 - val_loss: 0.2113 - val_categorical_accuracy: 0.9469 - 900ms/epoch - 6ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9799 - val_loss: 0.2064 - val_categorical_accuracy: 0.9514 - 920ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9798 - val_loss: 0.2547 - val_categorical_accuracy: 0.9364 - 910ms/epoch - 6ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9801 - val_loss: 0.2131 - val_categorical_accuracy: 0.9481 - 910ms/epoch - 6ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9802 - val_loss: 0.2343 - val_categorical_accuracy: 0.9379 - 910ms/epoch - 6ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9787 - val_loss: 0.2204 - val_categorical_accuracy: 0.9444 - 920ms/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9797 - val_loss: 0.2120 - val_categorical_accuracy: 0.9490 - 910ms/epoch - 6ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9801 - val_loss: 0.2062 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9792 - val_loss: 0.2317 - val_categorical_accuracy: 0.9435 - 920ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9790 - val_loss: 0.2134 - val_categorical_accuracy: 0.9483 - 910ms/epoch - 6ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9803 - val_loss: 0.2123 - val_categorical_accuracy: 0.9500 - 910ms/epoch - 6ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9787 - val_loss: 0.3247 - val_categorical_accuracy: 0.9226 - 910ms/epoch - 6ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.1256 - categorical_accuracy: 0.9632 - val_loss: 0.2104 - val_categorical_accuracy: 0.9477 - 900ms/epoch - 6ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9804 - val_loss: 0.2187 - val_categorical_accuracy: 0.9465 - 900ms/epoch - 6ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9808 - val_loss: 0.2183 - val_categorical_accuracy: 0.9462 - 910ms/epoch - 6ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9804 - val_loss: 0.2135 - val_categorical_accuracy: 0.9489 - 920ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9789 - val_loss: 0.2136 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9806 - val_loss: 0.2108 - val_categorical_accuracy: 0.9493 - 900ms/epoch - 6ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9794 - val_loss: 0.2245 - val_categorical_accuracy: 0.9465 - 910ms/epoch - 6ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9794 - val_loss: 0.2281 - val_categorical_accuracy: 0.9452 - 910ms/epoch - 6ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9708 - val_loss: 0.2218 - val_categorical_accuracy: 0.9431 - 910ms/epoch - 6ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9712 - val_loss: 0.2267 - val_categorical_accuracy: 0.9401 - 910ms/epoch - 6ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9804 - val_loss: 0.2032 - val_categorical_accuracy: 0.9495 - 940ms/epoch - 7ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9806 - val_loss: 0.2169 - val_categorical_accuracy: 0.9479 - 910ms/epoch - 6ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9805 - val_loss: 0.2349 - val_categorical_accuracy: 0.9447 - 910ms/epoch - 6ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9710 - val_loss: 0.2138 - val_categorical_accuracy: 0.9434 - 920ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9807 - val_loss: 0.2065 - val_categorical_accuracy: 0.9493 - 900ms/epoch - 6ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9802 - val_loss: 0.2081 - val_categorical_accuracy: 0.9499 - 900ms/epoch - 6ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9807 - val_loss: 0.2112 - val_categorical_accuracy: 0.9496 - 900ms/epoch - 6ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9808 - val_loss: 0.2163 - val_categorical_accuracy: 0.9465 - 910ms/epoch - 6ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9799 - val_loss: 0.2176 - val_categorical_accuracy: 0.9469 - 900ms/epoch - 6ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9801 - val_loss: 0.2200 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9806 - val_loss: 0.3148 - val_categorical_accuracy: 0.9237 - 930ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0928 - categorical_accuracy: 0.9709 - val_loss: 0.1978 - val_categorical_accuracy: 0.9521 - 910ms/epoch - 6ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9805 - val_loss: 0.2142 - val_categorical_accuracy: 0.9493 - 920ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9806 - val_loss: 0.2312 - val_categorical_accuracy: 0.9441 - 910ms/epoch - 6ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.1124 - categorical_accuracy: 0.9671 - val_loss: 0.1978 - val_categorical_accuracy: 0.9499 - 910ms/epoch - 6ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.2057 - val_categorical_accuracy: 0.9491 - 910ms/epoch - 6ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9804 - val_loss: 0.2075 - val_categorical_accuracy: 0.9495 - 910ms/epoch - 6ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9814 - val_loss: 0.3053 - val_categorical_accuracy: 0.9265 - 920ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9802 - val_loss: 0.2130 - val_categorical_accuracy: 0.9503 - 890ms/epoch - 6ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9813 - val_loss: 0.2714 - val_categorical_accuracy: 0.9397 - 910ms/epoch - 6ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.1599 - categorical_accuracy: 0.9563 - val_loss: 0.2438 - val_categorical_accuracy: 0.9384 - 910ms/epoch - 6ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9801 - val_loss: 0.2003 - val_categorical_accuracy: 0.9526 - 900ms/epoch - 6ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9810 - val_loss: 0.2220 - val_categorical_accuracy: 0.9462 - 900ms/epoch - 6ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9805 - val_loss: 0.2149 - val_categorical_accuracy: 0.9488 - 900ms/epoch - 6ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9809 - val_loss: 0.2187 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9812 - val_loss: 0.2083 - val_categorical_accuracy: 0.9496 - 910ms/epoch - 6ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9808 - val_loss: 0.2140 - val_categorical_accuracy: 0.9487 - 900ms/epoch - 6ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.2273 - val_categorical_accuracy: 0.9462 - 920ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9803 - val_loss: 0.2274 - val_categorical_accuracy: 0.9474 - 910ms/epoch - 6ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9791 - val_loss: 0.2152 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9694 - val_loss: 0.2140 - val_categorical_accuracy: 0.9475 - 900ms/epoch - 6ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9813 - val_loss: 0.2108 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9821 - val_loss: 0.2199 - val_categorical_accuracy: 0.9483 - 910ms/epoch - 6ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9807 - val_loss: 0.2141 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9814 - val_loss: 0.2369 - val_categorical_accuracy: 0.9417 - 902ms/epoch - 6ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9789 - val_loss: 0.2144 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9807 - val_loss: 0.2135 - val_categorical_accuracy: 0.9488 - 900ms/epoch - 6ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9816 - val_loss: 0.2378 - val_categorical_accuracy: 0.9434 - 900ms/epoch - 6ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9811 - val_loss: 0.2094 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9807 - val_loss: 0.2147 - val_categorical_accuracy: 0.9514 - 890ms/epoch - 6ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9806 - val_loss: 0.2166 - val_categorical_accuracy: 0.9506 - 900ms/epoch - 6ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9805 - val_loss: 0.2134 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9808 - val_loss: 0.2418 - val_categorical_accuracy: 0.9453 - 900ms/epoch - 6ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9779 - val_loss: 0.2164 - val_categorical_accuracy: 0.9490 - 910ms/epoch - 6ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9806 - val_loss: 0.2315 - val_categorical_accuracy: 0.9456 - 900ms/epoch - 6ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9803 - val_loss: 0.2211 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9800 - val_loss: 0.2241 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9815 - val_loss: 0.2203 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9735 - val_loss: 0.3785 - val_categorical_accuracy: 0.8953 - 910ms/epoch - 6ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9769 - val_loss: 0.2190 - val_categorical_accuracy: 0.9469 - 910ms/epoch - 6ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.2175 - val_categorical_accuracy: 0.9482 - 900ms/epoch - 6ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9715 - val_loss: 0.2154 - val_categorical_accuracy: 0.9450 - 920ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9811 - val_loss: 0.2052 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.2186 - val_categorical_accuracy: 0.9491 - 900ms/epoch - 6ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9820 - val_loss: 0.2349 - val_categorical_accuracy: 0.9472 - 900ms/epoch - 6ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9813 - val_loss: 0.2767 - val_categorical_accuracy: 0.9335 - 920ms/epoch - 7ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9816 - val_loss: 0.2223 - val_categorical_accuracy: 0.9493 - 910ms/epoch - 6ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9814 - val_loss: 0.2178 - val_categorical_accuracy: 0.9502 - 900ms/epoch - 6ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9808 - val_loss: 0.2293 - val_categorical_accuracy: 0.9476 - 900ms/epoch - 6ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9810 - val_loss: 0.2286 - val_categorical_accuracy: 0.9462 - 910ms/epoch - 6ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9820 - val_loss: 0.2348 - val_categorical_accuracy: 0.9455 - 900ms/epoch - 6ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9799 - val_loss: 0.2183 - val_categorical_accuracy: 0.9501 - 900ms/epoch - 6ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.1327 - categorical_accuracy: 0.9633 - val_loss: 0.2216 - val_categorical_accuracy: 0.9405 - 910ms/epoch - 6ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9804 - val_loss: 0.2155 - val_categorical_accuracy: 0.9487 - 910ms/epoch - 6ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9819 - val_loss: 0.2228 - val_categorical_accuracy: 0.9485 - 900ms/epoch - 6ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.2131 - val_categorical_accuracy: 0.9503 - 920ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9816 - val_loss: 0.2134 - val_categorical_accuracy: 0.9517 - 890ms/epoch - 6ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9817 - val_loss: 0.2169 - val_categorical_accuracy: 0.9498 - 900ms/epoch - 6ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9813 - val_loss: 0.2299 - val_categorical_accuracy: 0.9467 - 900ms/epoch - 6ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9817 - val_loss: 0.2179 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9817 - val_loss: 0.2554 - val_categorical_accuracy: 0.9420 - 900ms/epoch - 6ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9783 - val_loss: 0.2405 - val_categorical_accuracy: 0.9435 - 900ms/epoch - 6ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9779 - val_loss: 0.2138 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.2271 - val_categorical_accuracy: 0.9483 - 900ms/epoch - 6ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9810 - val_loss: 0.4214 - val_categorical_accuracy: 0.9009 - 900ms/epoch - 6ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.1792 - categorical_accuracy: 0.9513 - val_loss: 0.2017 - val_categorical_accuracy: 0.9492 - 900ms/epoch - 6ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9818 - val_loss: 0.2181 - val_categorical_accuracy: 0.9491 - 920ms/epoch - 7ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9826 - val_loss: 0.2358 - val_categorical_accuracy: 0.9435 - 900ms/epoch - 6ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9823 - val_loss: 0.2224 - val_categorical_accuracy: 0.9487 - 920ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9823 - val_loss: 0.2342 - val_categorical_accuracy: 0.9461 - 900ms/epoch - 6ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9801 - val_loss: 0.2239 - val_categorical_accuracy: 0.9487 - 890ms/epoch - 6ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9822 - val_loss: 0.2437 - val_categorical_accuracy: 0.9427 - 910ms/epoch - 6ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.2221 - val_categorical_accuracy: 0.9496 - 900ms/epoch - 6ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9815 - val_loss: 0.2412 - val_categorical_accuracy: 0.9454 - 910ms/epoch - 6ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0865 - categorical_accuracy: 0.9727 - val_loss: 0.2105 - val_categorical_accuracy: 0.9514 - 900ms/epoch - 6ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.2154 - val_categorical_accuracy: 0.9501 - 890ms/epoch - 6ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9816 - val_loss: 0.2234 - val_categorical_accuracy: 0.9491 - 920ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9822 - val_loss: 0.2307 - val_categorical_accuracy: 0.9492 - 900ms/epoch - 6ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.1022 - categorical_accuracy: 0.9696 - val_loss: 0.2127 - val_categorical_accuracy: 0.9495 - 890ms/epoch - 6ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.2109 - val_categorical_accuracy: 0.9511 - 900ms/epoch - 6ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9826 - val_loss: 0.2167 - val_categorical_accuracy: 0.9494 - 920ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9813 - val_loss: 0.2102 - val_categorical_accuracy: 0.9535 - 900ms/epoch - 6ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.2123 - val_categorical_accuracy: 0.9531 - 900ms/epoch - 6ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9821 - val_loss: 0.2285 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9815 - val_loss: 0.2315 - val_categorical_accuracy: 0.9494 - 900ms/epoch - 6ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9821 - val_loss: 0.2189 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0793 - categorical_accuracy: 0.9747 - val_loss: 0.2168 - val_categorical_accuracy: 0.9498 - 900ms/epoch - 6ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9826 - val_loss: 0.2231 - val_categorical_accuracy: 0.9493 - 910ms/epoch - 6ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9828 - val_loss: 0.2235 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9824 - val_loss: 0.2184 - val_categorical_accuracy: 0.9497 - 900ms/epoch - 6ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9812 - val_loss: 0.2388 - val_categorical_accuracy: 0.9466 - 910ms/epoch - 6ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9819 - val_loss: 0.2231 - val_categorical_accuracy: 0.9503 - 900ms/epoch - 6ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.2562 - val_categorical_accuracy: 0.9409 - 890ms/epoch - 6ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9807 - val_loss: 0.2250 - val_categorical_accuracy: 0.9519 - 900ms/epoch - 6ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9821 - val_loss: 0.2273 - val_categorical_accuracy: 0.9496 - 910ms/epoch - 6ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9819 - val_loss: 0.2326 - val_categorical_accuracy: 0.9496 - 900ms/epoch - 6ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9793 - val_loss: 0.7194 - val_categorical_accuracy: 0.8513 - 910ms/epoch - 6ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9764 - val_loss: 0.2214 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9825 - val_loss: 0.2231 - val_categorical_accuracy: 0.9514 - 900ms/epoch - 6ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.2337 - val_categorical_accuracy: 0.9472 - 900ms/epoch - 6ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.2150 - val_categorical_accuracy: 0.9536 - 900ms/epoch - 6ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9824 - val_loss: 0.2224 - val_categorical_accuracy: 0.9521 - 900ms/epoch - 6ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9813 - val_loss: 0.2214 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9823 - val_loss: 0.2251 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9814 - val_loss: 0.2622 - val_categorical_accuracy: 0.9416 - 910ms/epoch - 6ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9820 - val_loss: 0.2236 - val_categorical_accuracy: 0.9507 - 900ms/epoch - 6ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9827 - val_loss: 0.2454 - val_categorical_accuracy: 0.9431 - 900ms/epoch - 6ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9799 - val_loss: 0.2325 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9813 - val_loss: 0.2291 - val_categorical_accuracy: 0.9504 - 900ms/epoch - 6ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9822 - val_loss: 0.2252 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9823 - val_loss: 0.2366 - val_categorical_accuracy: 0.9494 - 900ms/epoch - 6ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.1026 - categorical_accuracy: 0.9700 - val_loss: 0.2279 - val_categorical_accuracy: 0.9467 - 920ms/epoch - 7ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9827 - val_loss: 0.2239 - val_categorical_accuracy: 0.9492 - 910ms/epoch - 6ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9830 - val_loss: 0.2161 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9827 - val_loss: 0.2174 - val_categorical_accuracy: 0.9516 - 920ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9767 - val_loss: 0.2236 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9815 - val_loss: 0.2240 - val_categorical_accuracy: 0.9507 - 900ms/epoch - 6ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9802 - val_loss: 0.2380 - val_categorical_accuracy: 0.9454 - 910ms/epoch - 6ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9826 - val_loss: 0.2425 - val_categorical_accuracy: 0.9466 - 910ms/epoch - 6ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9822 - val_loss: 0.2206 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.2356 - val_categorical_accuracy: 0.9474 - 900ms/epoch - 6ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.2263 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.1443 - categorical_accuracy: 0.9603 - val_loss: 0.2090 - val_categorical_accuracy: 0.9499 - 900ms/epoch - 6ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9824 - val_loss: 0.2046 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.2173 - val_categorical_accuracy: 0.9508 - 900ms/epoch - 6ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9819 - val_loss: 0.2210 - val_categorical_accuracy: 0.9498 - 920ms/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9834 - val_loss: 0.2181 - val_categorical_accuracy: 0.9530 - 900ms/epoch - 6ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.2234 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.2314 - val_categorical_accuracy: 0.9487 - 910ms/epoch - 6ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9828 - val_loss: 0.2335 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9830 - val_loss: 0.2307 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9832 - val_loss: 0.2259 - val_categorical_accuracy: 0.9513 - 900ms/epoch - 6ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9823 - val_loss: 0.2979 - val_categorical_accuracy: 0.9398 - 900ms/epoch - 6ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.1256 - categorical_accuracy: 0.9650 - val_loss: 0.2055 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.2348 - val_categorical_accuracy: 0.9475 - 900ms/epoch - 6ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9829 - val_loss: 0.2422 - val_categorical_accuracy: 0.9453 - 900ms/epoch - 6ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9830 - val_loss: 0.2403 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9814 - val_loss: 0.2341 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.2353 - val_categorical_accuracy: 0.9470 - 920ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.2381 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9825 - val_loss: 0.2317 - val_categorical_accuracy: 0.9502 - 910ms/epoch - 6ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9835 - val_loss: 0.2465 - val_categorical_accuracy: 0.9480 - 910ms/epoch - 6ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9826 - val_loss: 0.2510 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.2568 - categorical_accuracy: 0.9305 - val_loss: 0.2025 - val_categorical_accuracy: 0.9500 - 910ms/epoch - 6ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9815 - val_loss: 0.2219 - val_categorical_accuracy: 0.9477 - 900ms/epoch - 6ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9830 - val_loss: 0.2221 - val_categorical_accuracy: 0.9480 - 900ms/epoch - 6ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9838 - val_loss: 0.2117 - val_categorical_accuracy: 0.9533 - 900ms/epoch - 6ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9833 - val_loss: 0.2160 - val_categorical_accuracy: 0.9516 - 900ms/epoch - 6ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.2318 - val_categorical_accuracy: 0.9489 - 900ms/epoch - 6ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.2324 - val_categorical_accuracy: 0.9482 - 900ms/epoch - 6ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9828 - val_loss: 0.2297 - val_categorical_accuracy: 0.9508 - 910ms/epoch - 6ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9828 - val_loss: 0.2402 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9822 - val_loss: 0.2646 - val_categorical_accuracy: 0.9413 - 930ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9825 - val_loss: 0.2323 - val_categorical_accuracy: 0.9496 - 920ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9830 - val_loss: 0.2324 - val_categorical_accuracy: 0.9502 - 900ms/epoch - 6ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.2275 - val_categorical_accuracy: 0.9513 - 910ms/epoch - 6ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9826 - val_loss: 0.2295 - val_categorical_accuracy: 0.9504 - 920ms/epoch - 7ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9813 - val_loss: 0.2306 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9834 - val_loss: 0.2379 - val_categorical_accuracy: 0.9504 - 900ms/epoch - 6ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.2471 - val_categorical_accuracy: 0.9456 - 920ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9827 - val_loss: 0.2461 - val_categorical_accuracy: 0.9484 - 910ms/epoch - 6ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.2307 - val_categorical_accuracy: 0.9516 - 910ms/epoch - 6ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9710 - val_loss: 0.2411 - val_categorical_accuracy: 0.9432 - 900ms/epoch - 6ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.2222 - val_categorical_accuracy: 0.9517 - 920ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.2201 - val_categorical_accuracy: 0.9543 - 900ms/epoch - 6ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.2310 - val_categorical_accuracy: 0.9508 - 910ms/epoch - 6ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9834 - val_loss: 0.2400 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.2448 - val_categorical_accuracy: 0.9484 - 910ms/epoch - 6ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.2269 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9834 - val_loss: 0.2565 - val_categorical_accuracy: 0.9435 - 910ms/epoch - 6ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.2509 - val_categorical_accuracy: 0.9475 - 900ms/epoch - 6ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9808 - val_loss: 0.2350 - val_categorical_accuracy: 0.9494 - 890ms/epoch - 6ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9820 - val_loss: 0.2416 - val_categorical_accuracy: 0.9467 - 890ms/epoch - 6ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.2506 - val_categorical_accuracy: 0.9470 - 900ms/epoch - 6ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9833 - val_loss: 0.2410 - val_categorical_accuracy: 0.9489 - 890ms/epoch - 6ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9825 - val_loss: 0.3753 - val_categorical_accuracy: 0.9177 - 920ms/epoch - 7ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0986 - categorical_accuracy: 0.9706 - val_loss: 0.2420 - val_categorical_accuracy: 0.9455 - 910ms/epoch - 6ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9834 - val_loss: 0.2211 - val_categorical_accuracy: 0.9531 - 900ms/epoch - 6ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2396 - val_categorical_accuracy: 0.9478 - 900ms/epoch - 6ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.2368 - val_categorical_accuracy: 0.9495 - 900ms/epoch - 6ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9835 - val_loss: 0.2478 - val_categorical_accuracy: 0.9494 - 920ms/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9825 - val_loss: 0.2365 - val_categorical_accuracy: 0.9514 - 920ms/epoch - 7ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9837 - val_loss: 0.2454 - val_categorical_accuracy: 0.9474 - 910ms/epoch - 6ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9834 - val_loss: 0.2394 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.2424 - val_categorical_accuracy: 0.9510 - 900ms/epoch - 6ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9800 - val_loss: 2.5971 - val_categorical_accuracy: 0.6965 - 900ms/epoch - 6ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.1234 - categorical_accuracy: 0.9644 - val_loss: 0.2217 - val_categorical_accuracy: 0.9495 - 900ms/epoch - 6ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.2393 - val_categorical_accuracy: 0.9465 - 930ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.2280 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9829 - val_loss: 0.2435 - val_categorical_accuracy: 0.9464 - 900ms/epoch - 6ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.2655 - val_categorical_accuracy: 0.9420 - 920ms/epoch - 7ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9830 - val_loss: 0.2289 - val_categorical_accuracy: 0.9513 - 900ms/epoch - 6ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2336 - val_categorical_accuracy: 0.9500 - 900ms/epoch - 6ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9831 - val_loss: 0.2300 - val_categorical_accuracy: 0.9510 - 890ms/epoch - 6ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2577 - val_categorical_accuracy: 0.9441 - 910ms/epoch - 6ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9833 - val_loss: 0.2481 - val_categorical_accuracy: 0.9485 - 890ms/epoch - 6ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.2355 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9839 - val_loss: 0.2479 - val_categorical_accuracy: 0.9482 - 920ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9819 - val_loss: 0.2244 - val_categorical_accuracy: 0.9531 - 900ms/epoch - 6ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9838 - val_loss: 0.2461 - val_categorical_accuracy: 0.9492 - 910ms/epoch - 6ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.1000 - categorical_accuracy: 0.9714 - val_loss: 0.2183 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.2348 - val_categorical_accuracy: 0.9495 - 910ms/epoch - 6ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2458 - val_categorical_accuracy: 0.9488 - 900ms/epoch - 6ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9838 - val_loss: 0.2373 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.2307 - val_categorical_accuracy: 0.9524 - 930ms/epoch - 7ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9836 - val_loss: 0.2449 - val_categorical_accuracy: 0.9484 - 920ms/epoch - 7ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9837 - val_loss: 0.2284 - val_categorical_accuracy: 0.9532 - 900ms/epoch - 6ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.2490 - val_categorical_accuracy: 0.9470 - 910ms/epoch - 6ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9758 - val_loss: 0.2426 - val_categorical_accuracy: 0.9467 - 910ms/epoch - 6ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.2369 - val_categorical_accuracy: 0.9494 - 910ms/epoch - 6ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9835 - val_loss: 0.2374 - val_categorical_accuracy: 0.9507 - 900ms/epoch - 6ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.2392 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0939 - categorical_accuracy: 0.9729 - val_loss: 0.2660 - val_categorical_accuracy: 0.9331 - 900ms/epoch - 6ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9821 - val_loss: 0.2357 - val_categorical_accuracy: 0.9466 - 910ms/epoch - 6ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.2342 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.2498 - val_categorical_accuracy: 0.9472 - 910ms/epoch - 6ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.2291 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.2348 - val_categorical_accuracy: 0.9506 - 900ms/epoch - 6ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9841 - val_loss: 0.2348 - val_categorical_accuracy: 0.9495 - 920ms/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9777 - val_loss: 0.2733 - val_categorical_accuracy: 0.9365 - 910ms/epoch - 6ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9820 - val_loss: 0.2250 - val_categorical_accuracy: 0.9525 - 900ms/epoch - 6ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.2341 - val_categorical_accuracy: 0.9496 - 910ms/epoch - 6ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.2370 - val_categorical_accuracy: 0.9512 - 900ms/epoch - 6ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.2407 - val_categorical_accuracy: 0.9471 - 899ms/epoch - 6ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9842 - val_loss: 0.2351 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9838 - val_loss: 0.2300 - val_categorical_accuracy: 0.9525 - 930ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2427 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.1387 - categorical_accuracy: 0.9627 - val_loss: 0.3137 - val_categorical_accuracy: 0.9269 - 910ms/epoch - 6ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9814 - val_loss: 0.2224 - val_categorical_accuracy: 0.9508 - 930ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2290 - val_categorical_accuracy: 0.9504 - 920ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.2227 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2454 - val_categorical_accuracy: 0.9484 - 910ms/epoch - 6ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.2562 - val_categorical_accuracy: 0.9441 - 920ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9840 - val_loss: 0.2409 - val_categorical_accuracy: 0.9497 - 890ms/epoch - 6ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.2354 - val_categorical_accuracy: 0.9507 - 890ms/epoch - 6ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.2674 - val_categorical_accuracy: 0.9435 - 920ms/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9836 - val_loss: 0.2391 - val_categorical_accuracy: 0.9514 - 890ms/epoch - 6ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9839 - val_loss: 0.2374 - val_categorical_accuracy: 0.9500 - 900ms/epoch - 6ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.2401 - val_categorical_accuracy: 0.9510 - 890ms/epoch - 6ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9842 - val_loss: 0.2493 - val_categorical_accuracy: 0.9481 - 900ms/epoch - 6ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.2476 - val_categorical_accuracy: 0.9512 - 900ms/epoch - 6ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9841 - val_loss: 0.2388 - val_categorical_accuracy: 0.9523 - 900ms/epoch - 6ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.2542 - val_categorical_accuracy: 0.9470 - 920ms/epoch - 7ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.2499 - val_categorical_accuracy: 0.9471 - 910ms/epoch - 6ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9838 - val_loss: 0.2734 - val_categorical_accuracy: 0.9399 - 890ms/epoch - 6ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.1323 - categorical_accuracy: 0.9635 - val_loss: 0.2225 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2403 - val_categorical_accuracy: 0.9475 - 890ms/epoch - 6ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2444 - val_categorical_accuracy: 0.9482 - 900ms/epoch - 6ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2400 - val_categorical_accuracy: 0.9498 - 920ms/epoch - 7ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9836 - val_loss: 0.2305 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.2374 - val_categorical_accuracy: 0.9492 - 900ms/epoch - 6ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2442 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.2475 - val_categorical_accuracy: 0.9498 - 910ms/epoch - 6ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9845 - val_loss: 0.2449 - val_categorical_accuracy: 0.9497 - 900ms/epoch - 6ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.2379 - val_categorical_accuracy: 0.9500 - 900ms/epoch - 6ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9842 - val_loss: 0.2532 - val_categorical_accuracy: 0.9483 - 900ms/epoch - 6ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.2424 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.2472 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9811 - val_loss: 0.2361 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.2393 - val_categorical_accuracy: 0.9508 - 910ms/epoch - 6ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.2563 - val_categorical_accuracy: 0.9481 - 900ms/epoch - 6ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.2719 - val_categorical_accuracy: 0.9452 - 890ms/epoch - 6ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.2678 - val_categorical_accuracy: 0.9444 - 900ms/epoch - 6ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.2479 - val_categorical_accuracy: 0.9496 - 910ms/epoch - 6ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9834 - val_loss: 0.2677 - val_categorical_accuracy: 0.9427 - 910ms/epoch - 6ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9842 - val_loss: 0.2695 - val_categorical_accuracy: 0.9441 - 900ms/epoch - 6ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9815 - val_loss: 0.2478 - val_categorical_accuracy: 0.9491 - 910ms/epoch - 6ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.2428 - val_categorical_accuracy: 0.9516 - 910ms/epoch - 6ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9844 - val_loss: 0.2466 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.2421 - val_categorical_accuracy: 0.9519 - 900ms/epoch - 6ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0777 - categorical_accuracy: 0.9751 - val_loss: 0.2980 - val_categorical_accuracy: 0.9337 - 920ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9834 - val_loss: 0.2363 - val_categorical_accuracy: 0.9499 - 900ms/epoch - 6ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.2543 - val_categorical_accuracy: 0.9470 - 910ms/epoch - 6ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9840 - val_loss: 0.2420 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2398 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2767 - val_categorical_accuracy: 0.9432 - 890ms/epoch - 6ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9844 - val_loss: 0.2558 - val_categorical_accuracy: 0.9453 - 900ms/epoch - 6ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9840 - val_loss: 0.2393 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9845 - val_loss: 0.2472 - val_categorical_accuracy: 0.9501 - 910ms/epoch - 6ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9835 - val_loss: 0.2534 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9841 - val_loss: 0.2502 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9847 - val_loss: 0.2427 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9839 - val_loss: 0.3116 - val_categorical_accuracy: 0.9347 - 890ms/epoch - 6ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9820 - val_loss: 0.2699 - val_categorical_accuracy: 0.9435 - 890ms/epoch - 6ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9839 - val_loss: 0.2474 - val_categorical_accuracy: 0.9497 - 900ms/epoch - 6ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9828 - val_loss: 0.2488 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9828 - val_loss: 0.2738 - val_categorical_accuracy: 0.9404 - 900ms/epoch - 6ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.2396 - val_categorical_accuracy: 0.9519 - 920ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.2594 - val_categorical_accuracy: 0.9494 - 890ms/epoch - 6ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9843 - val_loss: 0.2551 - val_categorical_accuracy: 0.9491 - 900ms/epoch - 6ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9839 - val_loss: 0.2471 - val_categorical_accuracy: 0.9522 - 900ms/epoch - 6ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9845 - val_loss: 0.2674 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9845 - val_loss: 0.2501 - val_categorical_accuracy: 0.9506 - 900ms/epoch - 6ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2621 - val_categorical_accuracy: 0.9493 - 910ms/epoch - 6ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2456 - val_categorical_accuracy: 0.9511 - 920ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.2451 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.2492 - val_categorical_accuracy: 0.9490 - 1s/epoch - 8ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2563 - val_categorical_accuracy: 0.9501 - 930ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.2618 - val_categorical_accuracy: 0.9495 - 920ms/epoch - 7ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9731 - val_loss: 0.2517 - val_categorical_accuracy: 0.9386 - 910ms/epoch - 6ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.2387 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2461 - val_categorical_accuracy: 0.9500 - 910ms/epoch - 6ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2380 - val_categorical_accuracy: 0.9513 - 900ms/epoch - 6ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9848 - val_loss: 0.2389 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.2421 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.1329 - categorical_accuracy: 0.9643 - val_loss: 0.2179 - val_categorical_accuracy: 0.9499 - 910ms/epoch - 6ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9843 - val_loss: 0.2238 - val_categorical_accuracy: 0.9523 - 910ms/epoch - 6ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.2397 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9847 - val_loss: 0.2325 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2419 - val_categorical_accuracy: 0.9511 - 900ms/epoch - 6ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2616 - val_categorical_accuracy: 0.9454 - 900ms/epoch - 6ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.2368 - val_categorical_accuracy: 0.9525 - 920ms/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2589 - val_categorical_accuracy: 0.9487 - 900ms/epoch - 6ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2727 - val_categorical_accuracy: 0.9443 - 900ms/epoch - 6ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9847 - val_loss: 0.2471 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.2645 - val_categorical_accuracy: 0.9456 - 900ms/epoch - 6ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9837 - val_loss: 0.2488 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9732 - val_loss: 0.2442 - val_categorical_accuracy: 0.9442 - 900ms/epoch - 6ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9840 - val_loss: 0.2271 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2267 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.2652 - val_categorical_accuracy: 0.9477 - 910ms/epoch - 6ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9846 - val_loss: 0.2458 - val_categorical_accuracy: 0.9492 - 920ms/epoch - 7ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2325 - val_categorical_accuracy: 0.9540 - 900ms/epoch - 6ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9856 - val_loss: 0.2409 - val_categorical_accuracy: 0.9521 - 910ms/epoch - 6ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.2384 - val_categorical_accuracy: 0.9519 - 900ms/epoch - 6ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2453 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2626 - val_categorical_accuracy: 0.9473 - 910ms/epoch - 6ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2507 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9844 - val_loss: 0.2483 - val_categorical_accuracy: 0.9511 - 920ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2548 - val_categorical_accuracy: 0.9477 - 900ms/epoch - 6ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2477 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9849 - val_loss: 0.2529 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.2481 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.2390 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2439 - val_categorical_accuracy: 0.9519 - 900ms/epoch - 6ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9839 - val_loss: 0.2539 - val_categorical_accuracy: 0.9508 - 920ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.2536 - val_categorical_accuracy: 0.9501 - 900ms/epoch - 6ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.2579 - val_categorical_accuracy: 0.9501 - 900ms/epoch - 6ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.1484 - categorical_accuracy: 0.9598 - val_loss: 0.2303 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9838 - val_loss: 0.2268 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.2381 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.2363 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.2554 - val_categorical_accuracy: 0.9473 - 930ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.2684 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2588 - val_categorical_accuracy: 0.9466 - 900ms/epoch - 6ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9850 - val_loss: 0.2443 - val_categorical_accuracy: 0.9517 - 920ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2442 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9850 - val_loss: 0.2448 - val_categorical_accuracy: 0.9519 - 900ms/epoch - 6ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9849 - val_loss: 0.2571 - val_categorical_accuracy: 0.9488 - 900ms/epoch - 6ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.2458 - val_categorical_accuracy: 0.9506 - 920ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2536 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9834 - val_loss: 0.2577 - val_categorical_accuracy: 0.9493 - 910ms/epoch - 6ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.2445 - val_categorical_accuracy: 0.9528 - 920ms/epoch - 7ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9841 - val_loss: 0.2631 - val_categorical_accuracy: 0.9487 - 910ms/epoch - 6ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.2454 - val_categorical_accuracy: 0.9534 - 900ms/epoch - 6ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.2720 - val_categorical_accuracy: 0.9450 - 909ms/epoch - 6ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9838 - val_loss: 0.2481 - val_categorical_accuracy: 0.9528 - 920ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2656 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0751 - categorical_accuracy: 0.9766 - val_loss: 0.2346 - val_categorical_accuracy: 0.9474 - 910ms/epoch - 6ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9833 - val_loss: 0.2357 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2463 - val_categorical_accuracy: 0.9488 - 890ms/epoch - 6ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9853 - val_loss: 0.2638 - val_categorical_accuracy: 0.9463 - 910ms/epoch - 6ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9803 - val_loss: 0.2628 - val_categorical_accuracy: 0.9445 - 900ms/epoch - 6ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2447 - val_categorical_accuracy: 0.9504 - 920ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2569 - val_categorical_accuracy: 0.9500 - 910ms/epoch - 6ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9848 - val_loss: 0.2401 - val_categorical_accuracy: 0.9526 - 910ms/epoch - 6ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.2424 - val_categorical_accuracy: 0.9516 - 920ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.2414 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.2582 - val_categorical_accuracy: 0.9482 - 900ms/epoch - 6ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.2703 - val_categorical_accuracy: 0.9480 - 910ms/epoch - 6ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.2589 - val_categorical_accuracy: 0.9492 - 900ms/epoch - 6ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.2495 - val_categorical_accuracy: 0.9525 - 900ms/epoch - 6ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2605 - val_categorical_accuracy: 0.9489 - 900ms/epoch - 6ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9849 - val_loss: 0.2638 - val_categorical_accuracy: 0.9486 - 920ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9849 - val_loss: 0.2639 - val_categorical_accuracy: 0.9482 - 920ms/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9847 - val_loss: 0.2533 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9850 - val_loss: 0.2578 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9846 - val_loss: 0.2610 - val_categorical_accuracy: 0.9507 - 900ms/epoch - 6ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9837 - val_loss: 0.2846 - val_categorical_accuracy: 0.9424 - 900ms/epoch - 6ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.2527 - val_categorical_accuracy: 0.9513 - 910ms/epoch - 6ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9855 - val_loss: 0.2607 - val_categorical_accuracy: 0.9478 - 920ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9845 - val_loss: 0.2763 - val_categorical_accuracy: 0.9487 - 900ms/epoch - 6ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9848 - val_loss: 0.2636 - val_categorical_accuracy: 0.9490 - 910ms/epoch - 6ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.4476 - val_categorical_accuracy: 0.9092 - 910ms/epoch - 6ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9676 - val_loss: 0.2406 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.2354 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9853 - val_loss: 0.2335 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2448 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.2442 - val_categorical_accuracy: 0.9517 - 910ms/epoch - 6ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9853 - val_loss: 0.2515 - val_categorical_accuracy: 0.9502 - 920ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.2455 - val_categorical_accuracy: 0.9510 - 920ms/epoch - 7ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2524 - val_categorical_accuracy: 0.9502 - 900ms/epoch - 6ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9852 - val_loss: 0.2486 - val_categorical_accuracy: 0.9503 - 900ms/epoch - 6ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9854 - val_loss: 0.2528 - val_categorical_accuracy: 0.9525 - 910ms/epoch - 6ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2507 - val_categorical_accuracy: 0.9527 - 910ms/epoch - 6ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.2617 - val_categorical_accuracy: 0.9502 - 900ms/epoch - 6ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.2144 - categorical_accuracy: 0.9463 - val_loss: 0.2866 - val_categorical_accuracy: 0.9119 - 890ms/epoch - 6ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9710 - val_loss: 0.2291 - val_categorical_accuracy: 0.9461 - 910ms/epoch - 6ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.2241 - val_categorical_accuracy: 0.9525 - 890ms/epoch - 6ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2365 - val_categorical_accuracy: 0.9512 - 900ms/epoch - 6ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.2361 - val_categorical_accuracy: 0.9511 - 900ms/epoch - 6ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2364 - val_categorical_accuracy: 0.9530 - 930ms/epoch - 7ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2440 - val_categorical_accuracy: 0.9517 - 920ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2490 - val_categorical_accuracy: 0.9523 - 900ms/epoch - 6ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2634 - val_categorical_accuracy: 0.9467 - 910ms/epoch - 6ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2457 - val_categorical_accuracy: 0.9517 - 910ms/epoch - 6ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2466 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9857 - val_loss: 0.2446 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.2496 - val_categorical_accuracy: 0.9502 - 900ms/epoch - 6ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.2383 - val_categorical_accuracy: 0.9553 - 890ms/epoch - 6ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9852 - val_loss: 0.2410 - val_categorical_accuracy: 0.9528 - 890ms/epoch - 6ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9856 - val_loss: 0.2546 - val_categorical_accuracy: 0.9517 - 910ms/epoch - 6ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9852 - val_loss: 0.2481 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9815 - val_loss: 0.2599 - val_categorical_accuracy: 0.9482 - 900ms/epoch - 6ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.2431 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.2501 - val_categorical_accuracy: 0.9517 - 890ms/epoch - 6ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2625 - val_categorical_accuracy: 0.9478 - 900ms/epoch - 6ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9849 - val_loss: 0.2691 - val_categorical_accuracy: 0.9460 - 900ms/epoch - 6ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2581 - val_categorical_accuracy: 0.9494 - 910ms/epoch - 6ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.2542 - val_categorical_accuracy: 0.9508 - 900ms/epoch - 6ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.2974 - val_categorical_accuracy: 0.9416 - 910ms/epoch - 6ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.1406 - categorical_accuracy: 0.9622 - val_loss: 0.2323 - val_categorical_accuracy: 0.9494 - 917ms/epoch - 7ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2297 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2402 - val_categorical_accuracy: 0.9522 - 900ms/epoch - 6ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.2461 - val_categorical_accuracy: 0.9516 - 910ms/epoch - 6ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.2369 - val_categorical_accuracy: 0.9535 - 930ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2404 - val_categorical_accuracy: 0.9529 - 890ms/epoch - 6ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9855 - val_loss: 0.2526 - val_categorical_accuracy: 0.9511 - 900ms/epoch - 6ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.2534 - val_categorical_accuracy: 0.9495 - 920ms/epoch - 7ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.2507 - val_categorical_accuracy: 0.9502 - 920ms/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.2641 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9849 - val_loss: 0.2471 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9854 - val_loss: 0.2460 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9853 - val_loss: 0.2631 - val_categorical_accuracy: 0.9490 - 900ms/epoch - 6ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.2619 - val_categorical_accuracy: 0.9504 - 900ms/epoch - 6ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2494 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2500 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.2555 - val_categorical_accuracy: 0.9510 - 900ms/epoch - 6ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2485 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.2541 - val_categorical_accuracy: 0.9529 - 920ms/epoch - 7ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.2532 - val_categorical_accuracy: 0.9522 - 900ms/epoch - 6ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9855 - val_loss: 0.2621 - val_categorical_accuracy: 0.9475 - 910ms/epoch - 6ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2451 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.2596 - val_categorical_accuracy: 0.9508 - 910ms/epoch - 6ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9718 - val_loss: 0.2280 - val_categorical_accuracy: 0.9512 - 900ms/epoch - 6ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.2416 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2394 - val_categorical_accuracy: 0.9535 - 910ms/epoch - 6ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2450 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.2641 - val_categorical_accuracy: 0.9485 - 890ms/epoch - 6ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2546 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2796 - val_categorical_accuracy: 0.9443 - 900ms/epoch - 6ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2705 - val_categorical_accuracy: 0.9464 - 910ms/epoch - 6ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9860 - val_loss: 0.2562 - val_categorical_accuracy: 0.9502 - 920ms/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0880 - categorical_accuracy: 0.9753 - val_loss: 0.2349 - val_categorical_accuracy: 0.9447 - 910ms/epoch - 6ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.2369 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2480 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2495 - val_categorical_accuracy: 0.9517 - 930ms/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2467 - val_categorical_accuracy: 0.9527 - 910ms/epoch - 6ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2458 - val_categorical_accuracy: 0.9521 - 900ms/epoch - 6ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2717 - val_categorical_accuracy: 0.9464 - 920ms/epoch - 7ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2473 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2558 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.2502 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.1485 - categorical_accuracy: 0.9603 - val_loss: 0.2319 - val_categorical_accuracy: 0.9502 - 930ms/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.2486 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.2326 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2425 - val_categorical_accuracy: 0.9514 - 930ms/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2527 - val_categorical_accuracy: 0.9496 - 910ms/epoch - 6ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.2467 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2576 - val_categorical_accuracy: 0.9503 - 900ms/epoch - 6ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.2482 - val_categorical_accuracy: 0.9523 - 910ms/epoch - 6ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2518 - val_categorical_accuracy: 0.9510 - 900ms/epoch - 6ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.2512 - val_categorical_accuracy: 0.9513 - 900ms/epoch - 6ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2578 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.2582 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2622 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2663 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9734 - val_loss: 0.2234 - val_categorical_accuracy: 0.9473 - 910ms/epoch - 6ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.2354 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2368 - val_categorical_accuracy: 0.9530 - 910ms/epoch - 6ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2462 - val_categorical_accuracy: 0.9516 - 920ms/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2392 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2510 - val_categorical_accuracy: 0.9518 - 900ms/epoch - 6ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2642 - val_categorical_accuracy: 0.9480 - 920ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2519 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9859 - val_loss: 0.2641 - val_categorical_accuracy: 0.9492 - 910ms/epoch - 6ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2610 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9858 - val_loss: 0.2528 - val_categorical_accuracy: 0.9531 - 923ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2606 - val_categorical_accuracy: 0.9520 - 901ms/epoch - 6ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.2658 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2567 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9681 - val_loss: 0.2365 - val_categorical_accuracy: 0.9514 - 900ms/epoch - 6ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2561 - val_categorical_accuracy: 0.9481 - 912ms/epoch - 6ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2389 - val_categorical_accuracy: 0.9531 - 900ms/epoch - 6ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2467 - val_categorical_accuracy: 0.9524 - 920ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2491 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2543 - val_categorical_accuracy: 0.9499 - 910ms/epoch - 6ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2522 - val_categorical_accuracy: 0.9545 - 910ms/epoch - 6ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2422 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2498 - val_categorical_accuracy: 0.9530 - 910ms/epoch - 6ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2850 - val_categorical_accuracy: 0.9410 - 910ms/epoch - 6ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2586 - val_categorical_accuracy: 0.9513 - 920ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2993 - val_categorical_accuracy: 0.9430 - 910ms/epoch - 6ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.2681 - val_categorical_accuracy: 0.9474 - 910ms/epoch - 6ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2438 - val_categorical_accuracy: 0.9538 - 910ms/epoch - 6ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.3131 - val_categorical_accuracy: 0.9379 - 910ms/epoch - 6ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9785 - val_loss: 0.2539 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2699 - val_categorical_accuracy: 0.9464 - 920ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2655 - val_categorical_accuracy: 0.9476 - 900ms/epoch - 6ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2541 - val_categorical_accuracy: 0.9518 - 900ms/epoch - 6ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2704 - val_categorical_accuracy: 0.9475 - 900ms/epoch - 6ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2524 - val_categorical_accuracy: 0.9505 - 930ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.2699 - val_categorical_accuracy: 0.9493 - 900ms/epoch - 6ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2573 - val_categorical_accuracy: 0.9527 - 910ms/epoch - 6ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9733 - val_loss: 0.2293 - val_categorical_accuracy: 0.9513 - 910ms/epoch - 6ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.2532 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2391 - val_categorical_accuracy: 0.9521 - 900ms/epoch - 6ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9864 - val_loss: 0.2768 - val_categorical_accuracy: 0.9444 - 920ms/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2590 - val_categorical_accuracy: 0.9508 - 930ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2419 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.2564 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.1399 - categorical_accuracy: 0.9622 - val_loss: 0.2325 - val_categorical_accuracy: 0.9470 - 920ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.2327 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2383 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2388 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2426 - val_categorical_accuracy: 0.9529 - 930ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2488 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2493 - val_categorical_accuracy: 0.9518 - 900ms/epoch - 6ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.2608 - val_categorical_accuracy: 0.9494 - 920ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2513 - val_categorical_accuracy: 0.9523 - 910ms/epoch - 6ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2619 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2518 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2495 - val_categorical_accuracy: 0.9518 - 900ms/epoch - 6ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9863 - val_loss: 0.2994 - val_categorical_accuracy: 0.9420 - 910ms/epoch - 6ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2708 - val_categorical_accuracy: 0.9487 - 900ms/epoch - 6ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2650 - val_categorical_accuracy: 0.9503 - 920ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9864 - val_loss: 0.2685 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2526 - val_categorical_accuracy: 0.9532 - 890ms/epoch - 6ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9861 - val_loss: 0.2540 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2661 - val_categorical_accuracy: 0.9512 - 890ms/epoch - 6ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9862 - val_loss: 0.2632 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9864 - val_loss: 0.2581 - val_categorical_accuracy: 0.9535 - 900ms/epoch - 6ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9847 - val_loss: 0.2624 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2553 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2651 - val_categorical_accuracy: 0.9490 - 910ms/epoch - 6ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2557 - val_categorical_accuracy: 0.9536 - 920ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2618 - val_categorical_accuracy: 0.9529 - 890ms/epoch - 6ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9864 - val_loss: 0.2757 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.2717 - val_categorical_accuracy: 0.9502 - 900ms/epoch - 6ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9862 - val_loss: 0.3034 - val_categorical_accuracy: 0.9435 - 910ms/epoch - 6ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9852 - val_loss: 0.3243 - val_categorical_accuracy: 0.9377 - 910ms/epoch - 6ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.1211 - categorical_accuracy: 0.9672 - val_loss: 0.2200 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2485 - val_categorical_accuracy: 0.9492 - 920ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2518 - val_categorical_accuracy: 0.9508 - 904ms/epoch - 6ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2569 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2711 - val_categorical_accuracy: 0.9456 - 910ms/epoch - 6ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2509 - val_categorical_accuracy: 0.9536 - 920ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2555 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.2656 - val_categorical_accuracy: 0.9502 - 910ms/epoch - 6ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9801 - val_loss: 0.2556 - val_categorical_accuracy: 0.9487 - 920ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9856 - val_loss: 0.2539 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.2604 - val_categorical_accuracy: 0.9491 - 910ms/epoch - 6ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2490 - val_categorical_accuracy: 0.9525 - 900ms/epoch - 6ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.2528 - val_categorical_accuracy: 0.9517 - 910ms/epoch - 6ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2519 - val_categorical_accuracy: 0.9540 - 920ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2911 - val_categorical_accuracy: 0.9405 - 900ms/epoch - 6ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.2494 - val_categorical_accuracy: 0.9528 - 920ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2583 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2718 - val_categorical_accuracy: 0.9456 - 910ms/epoch - 6ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2483 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9863 - val_loss: 0.2596 - val_categorical_accuracy: 0.9513 - 910ms/epoch - 6ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2603 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9863 - val_loss: 0.2561 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.2576 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2770 - val_categorical_accuracy: 0.9473 - 910ms/epoch - 6ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2628 - val_categorical_accuracy: 0.9534 - 900ms/epoch - 6ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2622 - val_categorical_accuracy: 0.9487 - 920ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2544 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9862 - val_loss: 0.2651 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9792 - val_loss: 0.2618 - val_categorical_accuracy: 0.9472 - 920ms/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.2625 - val_categorical_accuracy: 0.9462 - 910ms/epoch - 6ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2562 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9864 - val_loss: 0.2538 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2597 - val_categorical_accuracy: 0.9508 - 930ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2554 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2686 - val_categorical_accuracy: 0.9508 - 920ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.2630 - val_categorical_accuracy: 0.9516 - 900ms/epoch - 6ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2647 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9861 - val_loss: 0.2599 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2631 - val_categorical_accuracy: 0.9524 - 900ms/epoch - 6ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9860 - val_loss: 0.2720 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9860 - val_loss: 0.2611 - val_categorical_accuracy: 0.9535 - 910ms/epoch - 6ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2604 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2609 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.2926 - val_categorical_accuracy: 0.9427 - 910ms/epoch - 6ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2599 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2706 - val_categorical_accuracy: 0.9496 - 900ms/epoch - 6ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9773 - val_loss: 0.2469 - val_categorical_accuracy: 0.9503 - 920ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2528 - val_categorical_accuracy: 0.9531 - 920ms/epoch - 7ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.2548 - val_categorical_accuracy: 0.9521 - 910ms/epoch - 6ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2528 - val_categorical_accuracy: 0.9534 - 920ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2493 - val_categorical_accuracy: 0.9537 - 900ms/epoch - 6ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9867 - val_loss: 0.2621 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2716 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.2619 - val_categorical_accuracy: 0.9506 - 920ms/epoch - 7ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2636 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9857 - val_loss: 0.2877 - val_categorical_accuracy: 0.9466 - 900ms/epoch - 6ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9863 - val_loss: 0.2677 - val_categorical_accuracy: 0.9513 - 920ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9863 - val_loss: 0.2642 - val_categorical_accuracy: 0.9516 - 910ms/epoch - 6ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2776 - val_categorical_accuracy: 0.9469 - 910ms/epoch - 6ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2745 - val_categorical_accuracy: 0.9491 - 910ms/epoch - 6ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.2598 - val_categorical_accuracy: 0.9512 - 930ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2617 - val_categorical_accuracy: 0.9515 - 900ms/epoch - 6ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2787 - val_categorical_accuracy: 0.9494 - 910ms/epoch - 6ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2745 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.2724 - val_categorical_accuracy: 0.9486 - 910ms/epoch - 6ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2649 - val_categorical_accuracy: 0.9518 - 940ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.1603 - categorical_accuracy: 0.9583 - val_loss: 0.2232 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.2359 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2395 - val_categorical_accuracy: 0.9528 - 909ms/epoch - 6ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2477 - val_categorical_accuracy: 0.9535 - 910ms/epoch - 6ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2613 - val_categorical_accuracy: 0.9487 - 920ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2481 - val_categorical_accuracy: 0.9549 - 910ms/epoch - 6ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2527 - val_categorical_accuracy: 0.9531 - 910ms/epoch - 6ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2563 - val_categorical_accuracy: 0.9527 - 920ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.2642 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2632 - val_categorical_accuracy: 0.9512 - 900ms/epoch - 6ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2929 - val_categorical_accuracy: 0.9446 - 910ms/epoch - 6ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2633 - val_categorical_accuracy: 0.9511 - 910ms/epoch - 6ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2746 - val_categorical_accuracy: 0.9514 - 900ms/epoch - 6ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9864 - val_loss: 0.4832 - val_categorical_accuracy: 0.9107 - 900ms/epoch - 6ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.1016 - categorical_accuracy: 0.9726 - val_loss: 0.2433 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2510 - val_categorical_accuracy: 0.9516 - 890ms/epoch - 6ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2473 - val_categorical_accuracy: 0.9550 - 900ms/epoch - 6ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2563 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2657 - val_categorical_accuracy: 0.9501 - 920ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.2793 - val_categorical_accuracy: 0.9450 - 920ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2547 - val_categorical_accuracy: 0.9511 - 900ms/epoch - 6ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2598 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.2980 - val_categorical_accuracy: 0.9439 - 1s/epoch - 8ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9867 - val_loss: 0.2844 - val_categorical_accuracy: 0.9451 - 910ms/epoch - 6ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9860 - val_loss: 0.2728 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0922 - categorical_accuracy: 0.9748 - val_loss: 0.2459 - val_categorical_accuracy: 0.9447 - 910ms/epoch - 6ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.2464 - val_categorical_accuracy: 0.9510 - 920ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2476 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2570 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2681 - val_categorical_accuracy: 0.9507 - 900ms/epoch - 6ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2611 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2582 - val_categorical_accuracy: 0.9537 - 920ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2612 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2599 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9866 - val_loss: 0.2608 - val_categorical_accuracy: 0.9521 - 900ms/epoch - 6ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2734 - val_categorical_accuracy: 0.9481 - 920ms/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2910 - val_categorical_accuracy: 0.9447 - 900ms/epoch - 6ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.2700 - val_categorical_accuracy: 0.9507 - 900ms/epoch - 6ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.2708 - val_categorical_accuracy: 0.9520 - 910ms/epoch - 6ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2634 - val_categorical_accuracy: 0.9531 - 900ms/epoch - 6ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9867 - val_loss: 0.2843 - val_categorical_accuracy: 0.9496 - 890ms/epoch - 6ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9868 - val_loss: 0.2705 - val_categorical_accuracy: 0.9504 - 890ms/epoch - 6ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.3271 - val_categorical_accuracy: 0.9375 - 920ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0793 - categorical_accuracy: 0.9761 - val_loss: 0.2626 - val_categorical_accuracy: 0.9517 - 900ms/epoch - 6ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2555 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2577 - val_categorical_accuracy: 0.9517 - 920ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2614 - val_categorical_accuracy: 0.9519 - 900ms/epoch - 6ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2764 - val_categorical_accuracy: 0.9466 - 900ms/epoch - 6ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9868 - val_loss: 0.2649 - val_categorical_accuracy: 0.9511 - 890ms/epoch - 6ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2665 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.2761 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9870 - val_loss: 0.2983 - val_categorical_accuracy: 0.9453 - 900ms/epoch - 6ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9794 - val_loss: 0.2810 - val_categorical_accuracy: 0.9436 - 910ms/epoch - 6ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2846 - val_categorical_accuracy: 0.9451 - 900ms/epoch - 6ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2630 - val_categorical_accuracy: 0.9508 - 900ms/epoch - 6ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9865 - val_loss: 0.2706 - val_categorical_accuracy: 0.9511 - 900ms/epoch - 6ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2588 - val_categorical_accuracy: 0.9534 - 920ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2589 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2546 - val_categorical_accuracy: 0.9543 - 920ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2579 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.2670 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2860 - val_categorical_accuracy: 0.9487 - 900ms/epoch - 6ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9871 - val_loss: 0.2919 - val_categorical_accuracy: 0.9457 - 910ms/epoch - 6ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9859 - val_loss: 0.2668 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2717 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2756 - val_categorical_accuracy: 0.9495 - 900ms/epoch - 6ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2850 - val_categorical_accuracy: 0.9498 - 920ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.1034 - categorical_accuracy: 0.9727 - val_loss: 0.2574 - val_categorical_accuracy: 0.9378 - 920ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9845 - val_loss: 0.2528 - val_categorical_accuracy: 0.9501 - 914ms/epoch - 6ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2497 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2574 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.2601 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.2670 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2653 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2750 - val_categorical_accuracy: 0.9492 - 900ms/epoch - 6ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2603 - val_categorical_accuracy: 0.9530 - 900ms/epoch - 6ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9869 - val_loss: 0.2778 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2654 - val_categorical_accuracy: 0.9526 - 900ms/epoch - 6ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2644 - val_categorical_accuracy: 0.9512 - 900ms/epoch - 6ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.2680 - val_categorical_accuracy: 0.9516 - 893ms/epoch - 6ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2749 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2730 - val_categorical_accuracy: 0.9498 - 920ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2716 - val_categorical_accuracy: 0.9503 - 900ms/epoch - 6ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2677 - val_categorical_accuracy: 0.9536 - 920ms/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2603 - val_categorical_accuracy: 0.9537 - 920ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2724 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2646 - val_categorical_accuracy: 0.9538 - 900ms/epoch - 6ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.1101 - categorical_accuracy: 0.9698 - val_loss: 0.2464 - val_categorical_accuracy: 0.9502 - 910ms/epoch - 6ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2487 - val_categorical_accuracy: 0.9523 - 900ms/epoch - 6ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2563 - val_categorical_accuracy: 0.9528 - 900ms/epoch - 6ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2565 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2617 - val_categorical_accuracy: 0.9510 - 900ms/epoch - 6ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2846 - val_categorical_accuracy: 0.9477 - 900ms/epoch - 6ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2607 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2798 - val_categorical_accuracy: 0.9493 - 910ms/epoch - 6ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2621 - val_categorical_accuracy: 0.9543 - 900ms/epoch - 6ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2603 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2616 - val_categorical_accuracy: 0.9543 - 920ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2675 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9867 - val_loss: 0.2698 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.2673 - val_categorical_accuracy: 0.9527 - 910ms/epoch - 6ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2645 - val_categorical_accuracy: 0.9527 - 910ms/epoch - 6ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2781 - val_categorical_accuracy: 0.9504 - 890ms/epoch - 6ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2736 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2724 - val_categorical_accuracy: 0.9523 - 910ms/epoch - 6ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.2723 - val_categorical_accuracy: 0.9535 - 920ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2755 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2882 - val_categorical_accuracy: 0.9459 - 920ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2669 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.2903 - val_categorical_accuracy: 0.9494 - 910ms/epoch - 6ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2637 - val_categorical_accuracy: 0.9533 - 900ms/epoch - 6ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9872 - val_loss: 0.2764 - val_categorical_accuracy: 0.9487 - 920ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2753 - val_categorical_accuracy: 0.9518 - 910ms/epoch - 6ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9770 - val_loss: 0.2780 - val_categorical_accuracy: 0.9480 - 910ms/epoch - 6ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2665 - val_categorical_accuracy: 0.9493 - 920ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2610 - val_categorical_accuracy: 0.9532 - 900ms/epoch - 6ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2727 - val_categorical_accuracy: 0.9524 - 920ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2679 - val_categorical_accuracy: 0.9525 - 910ms/epoch - 6ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2683 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2692 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.2606 - val_categorical_accuracy: 0.9544 - 910ms/epoch - 6ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2696 - val_categorical_accuracy: 0.9506 - 920ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2762 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9872 - val_loss: 0.2709 - val_categorical_accuracy: 0.9536 - 890ms/epoch - 6ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2749 - val_categorical_accuracy: 0.9506 - 900ms/epoch - 6ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2908 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9861 - val_loss: 0.2774 - val_categorical_accuracy: 0.9532 - 900ms/epoch - 6ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2859 - val_categorical_accuracy: 0.9502 - 890ms/epoch - 6ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9863 - val_loss: 0.2735 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2856 - val_categorical_accuracy: 0.9494 - 900ms/epoch - 6ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2765 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2736 - val_categorical_accuracy: 0.9514 - 920ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9873 - val_loss: 0.2889 - val_categorical_accuracy: 0.9473 - 910ms/epoch - 6ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2706 - val_categorical_accuracy: 0.9528 - 900ms/epoch - 6ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.1306 - categorical_accuracy: 0.9658 - val_loss: 0.2363 - val_categorical_accuracy: 0.9506 - 914ms/epoch - 6ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2489 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2591 - val_categorical_accuracy: 0.9498 - 910ms/epoch - 6ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2742 - val_categorical_accuracy: 0.9486 - 910ms/epoch - 6ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2632 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2756 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2614 - val_categorical_accuracy: 0.9529 - 890ms/epoch - 6ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2666 - val_categorical_accuracy: 0.9549 - 900ms/epoch - 6ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2696 - val_categorical_accuracy: 0.9517 - 910ms/epoch - 6ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2718 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2694 - val_categorical_accuracy: 0.9518 - 910ms/epoch - 6ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2766 - val_categorical_accuracy: 0.9516 - 910ms/epoch - 6ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2671 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2769 - val_categorical_accuracy: 0.9515 - 900ms/epoch - 6ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2659 - val_categorical_accuracy: 0.9535 - 900ms/epoch - 6ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.3081 - val_categorical_accuracy: 0.9443 - 910ms/epoch - 6ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2963 - val_categorical_accuracy: 0.9474 - 890ms/epoch - 6ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2679 - val_categorical_accuracy: 0.9543 - 900ms/epoch - 6ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2735 - val_categorical_accuracy: 0.9531 - 910ms/epoch - 6ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2724 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2721 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9773 - val_loss: 0.2770 - val_categorical_accuracy: 0.9481 - 900ms/epoch - 6ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2694 - val_categorical_accuracy: 0.9499 - 910ms/epoch - 6ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9870 - val_loss: 0.2675 - val_categorical_accuracy: 0.9539 - 910ms/epoch - 6ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2699 - val_categorical_accuracy: 0.9494 - 910ms/epoch - 6ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2839 - val_categorical_accuracy: 0.9479 - 930ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2715 - val_categorical_accuracy: 0.9531 - 910ms/epoch - 6ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2821 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9871 - val_loss: 0.2660 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2929 - val_categorical_accuracy: 0.9467 - 910ms/epoch - 6ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2687 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.1060 - categorical_accuracy: 0.9706 - val_loss: 0.2468 - val_categorical_accuracy: 0.9499 - 900ms/epoch - 6ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2561 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2697 - val_categorical_accuracy: 0.9493 - 900ms/epoch - 6ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2612 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2837 - val_categorical_accuracy: 0.9493 - 930ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9875 - val_loss: 0.2622 - val_categorical_accuracy: 0.9544 - 910ms/epoch - 6ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2629 - val_categorical_accuracy: 0.9518 - 910ms/epoch - 6ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2636 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2726 - val_categorical_accuracy: 0.9518 - 910ms/epoch - 6ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2689 - val_categorical_accuracy: 0.9528 - 900ms/epoch - 6ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2839 - val_categorical_accuracy: 0.9498 - 910ms/epoch - 6ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2650 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2875 - val_categorical_accuracy: 0.9487 - 910ms/epoch - 6ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.3293 - val_categorical_accuracy: 0.9404 - 930ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.2734 - val_categorical_accuracy: 0.9517 - 920ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2787 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2751 - val_categorical_accuracy: 0.9513 - 910ms/epoch - 6ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9875 - val_loss: 0.2794 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.2790 - val_categorical_accuracy: 0.9517 - 920ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.2780 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2845 - val_categorical_accuracy: 0.9494 - 920ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9867 - val_loss: 0.2862 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9869 - val_loss: 0.2769 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.2759 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2802 - val_categorical_accuracy: 0.9504 - 900ms/epoch - 6ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9726 - val_loss: 0.2571 - val_categorical_accuracy: 0.9467 - 920ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2589 - val_categorical_accuracy: 0.9516 - 900ms/epoch - 6ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2568 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.3314 - val_categorical_accuracy: 0.9364 - 920ms/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2881 - val_categorical_accuracy: 0.9470 - 920ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2769 - val_categorical_accuracy: 0.9472 - 900ms/epoch - 6ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.3210 - val_categorical_accuracy: 0.9398 - 900ms/epoch - 6ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2855 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2732 - val_categorical_accuracy: 0.9527 - 910ms/epoch - 6ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2803 - val_categorical_accuracy: 0.9498 - 890ms/epoch - 6ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9850 - val_loss: 0.2676 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9873 - val_loss: 0.2660 - val_categorical_accuracy: 0.9533 - 900ms/epoch - 6ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2868 - val_categorical_accuracy: 0.9480 - 920ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9874 - val_loss: 0.2669 - val_categorical_accuracy: 0.9537 - 920ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.2685 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2677 - val_categorical_accuracy: 0.9530 - 910ms/epoch - 6ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2708 - val_categorical_accuracy: 0.9533 - 900ms/epoch - 6ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2919 - val_categorical_accuracy: 0.9456 - 910ms/epoch - 6ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.3267 - val_categorical_accuracy: 0.9401 - 900ms/epoch - 6ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2741 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9873 - val_loss: 0.2806 - val_categorical_accuracy: 0.9524 - 901ms/epoch - 6ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2798 - val_categorical_accuracy: 0.9520 - 930ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9870 - val_loss: 0.2843 - val_categorical_accuracy: 0.9520 - 900ms/epoch - 6ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.3142 - val_categorical_accuracy: 0.9440 - 900ms/epoch - 6ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9868 - val_loss: 0.3128 - val_categorical_accuracy: 0.9446 - 920ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.2883 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9871 - val_loss: 0.2814 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2763 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2856 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9874 - val_loss: 0.2886 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2920 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2876 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2680 - val_categorical_accuracy: 0.9527 - 900ms/epoch - 6ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2786 - val_categorical_accuracy: 0.9508 - 910ms/epoch - 6ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2835 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9872 - val_loss: 0.2973 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2837 - val_categorical_accuracy: 0.9492 - 900ms/epoch - 6ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2905 - val_categorical_accuracy: 0.9505 - 900ms/epoch - 6ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2951 - val_categorical_accuracy: 0.9493 - 930ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9736 - val_loss: 0.2558 - val_categorical_accuracy: 0.9522 - 930ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2646 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9820 - val_loss: 0.2732 - val_categorical_accuracy: 0.9447 - 920ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2648 - val_categorical_accuracy: 0.9515 - 900ms/epoch - 6ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2644 - val_categorical_accuracy: 0.9525 - 900ms/epoch - 6ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2690 - val_categorical_accuracy: 0.9520 - 900ms/epoch - 6ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2656 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2720 - val_categorical_accuracy: 0.9513 - 920ms/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2761 - val_categorical_accuracy: 0.9528 - 900ms/epoch - 6ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2815 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2684 - val_categorical_accuracy: 0.9537 - 900ms/epoch - 6ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.2918 - val_categorical_accuracy: 0.9484 - 900ms/epoch - 6ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2825 - val_categorical_accuracy: 0.9536 - 900ms/epoch - 6ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2701 - val_categorical_accuracy: 0.9545 - 910ms/epoch - 6ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9869 - val_loss: 0.2816 - val_categorical_accuracy: 0.9501 - 1s/epoch - 10ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9872 - val_loss: 0.2883 - val_categorical_accuracy: 0.9504 - 1s/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2835 - val_categorical_accuracy: 0.9497 - 982ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9868 - val_loss: 0.2792 - val_categorical_accuracy: 0.9519 - 952ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2898 - val_categorical_accuracy: 0.9499 - 952ms/epoch - 7ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2779 - val_categorical_accuracy: 0.9520 - 944ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9857 - val_loss: 0.2906 - val_categorical_accuracy: 0.9496 - 935ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2713 - val_categorical_accuracy: 0.9529 - 948ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2785 - val_categorical_accuracy: 0.9516 - 949ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9876 - val_loss: 0.3033 - val_categorical_accuracy: 0.9454 - 932ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2811 - val_categorical_accuracy: 0.9521 - 947ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.2870 - val_categorical_accuracy: 0.9493 - 953ms/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2917 - val_categorical_accuracy: 0.9492 - 952ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2845 - val_categorical_accuracy: 0.9517 - 934ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2844 - val_categorical_accuracy: 0.9509 - 930ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2801 - val_categorical_accuracy: 0.9514 - 947ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2812 - val_categorical_accuracy: 0.9533 - 919ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.2849 - val_categorical_accuracy: 0.9516 - 938ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2871 - val_categorical_accuracy: 0.9533 - 968ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.3023 - val_categorical_accuracy: 0.9478 - 996ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2995 - val_categorical_accuracy: 0.9504 - 970ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.3112 - val_categorical_accuracy: 0.9449 - 837ms/epoch - 6ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.2833 - val_categorical_accuracy: 0.9519 - 843ms/epoch - 6ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2870 - val_categorical_accuracy: 0.9526 - 1s/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.2883 - val_categorical_accuracy: 0.9517 - 963ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0790 - categorical_accuracy: 0.9761 - val_loss: 0.2952 - val_categorical_accuracy: 0.9391 - 856ms/epoch - 6ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.2620 - val_categorical_accuracy: 0.9518 - 852ms/epoch - 6ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2627 - val_categorical_accuracy: 0.9537 - 990ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9874 - val_loss: 0.2745 - val_categorical_accuracy: 0.9517 - 904ms/epoch - 6ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2690 - val_categorical_accuracy: 0.9538 - 818ms/epoch - 6ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2748 - val_categorical_accuracy: 0.9531 - 900ms/epoch - 6ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2774 - val_categorical_accuracy: 0.9487 - 930ms/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2909 - val_categorical_accuracy: 0.9502 - 831ms/epoch - 6ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9872 - val_loss: 0.2816 - val_categorical_accuracy: 0.9517 - 824ms/epoch - 6ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.2853 - val_categorical_accuracy: 0.9499 - 998ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9869 - val_loss: 0.2908 - val_categorical_accuracy: 0.9505 - 884ms/epoch - 6ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9873 - val_loss: 0.2918 - val_categorical_accuracy: 0.9528 - 829ms/epoch - 6ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2942 - val_categorical_accuracy: 0.9472 - 892ms/epoch - 6ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.2828 - val_categorical_accuracy: 0.9534 - 869ms/epoch - 6ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2907 - val_categorical_accuracy: 0.9492 - 824ms/epoch - 6ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.3074 - val_categorical_accuracy: 0.9477 - 908ms/epoch - 6ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2785 - val_categorical_accuracy: 0.9533 - 924ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2814 - val_categorical_accuracy: 0.9515 - 827ms/epoch - 6ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.3033 - val_categorical_accuracy: 0.9503 - 864ms/epoch - 6ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2847 - val_categorical_accuracy: 0.9513 - 967ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2871 - val_categorical_accuracy: 0.9518 - 857ms/epoch - 6ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.3014 - val_categorical_accuracy: 0.9486 - 891ms/epoch - 6ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9873 - val_loss: 0.3231 - val_categorical_accuracy: 0.9435 - 956ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2832 - val_categorical_accuracy: 0.9526 - 800ms/epoch - 6ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2958 - val_categorical_accuracy: 0.9507 - 808ms/epoch - 6ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2883 - val_categorical_accuracy: 0.9523 - 972ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.2834 - val_categorical_accuracy: 0.9534 - 918ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2998 - val_categorical_accuracy: 0.9491 - 853ms/epoch - 6ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9874 - val_loss: 0.3106 - val_categorical_accuracy: 0.9444 - 913ms/epoch - 6ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.9400 - val_categorical_accuracy: 0.8586 - 950ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.1500 - categorical_accuracy: 0.9620 - val_loss: 0.2428 - val_categorical_accuracy: 0.9528 - 851ms/epoch - 6ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2647 - val_categorical_accuracy: 0.9514 - 846ms/epoch - 6ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2615 - val_categorical_accuracy: 0.9531 - 980ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2750 - val_categorical_accuracy: 0.9497 - 826ms/epoch - 6ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2943 - val_categorical_accuracy: 0.9479 - 853ms/epoch - 6ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.3259 - val_categorical_accuracy: 0.9430 - 998ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9846 - val_loss: 0.2943 - val_categorical_accuracy: 0.9492 - 834ms/epoch - 6ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2752 - val_categorical_accuracy: 0.9533 - 831ms/epoch - 6ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2831 - val_categorical_accuracy: 0.9509 - 964ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2968 - val_categorical_accuracy: 0.9459 - 858ms/epoch - 6ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2792 - val_categorical_accuracy: 0.9512 - 834ms/epoch - 6ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2845 - val_categorical_accuracy: 0.9520 - 983ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2941 - val_categorical_accuracy: 0.9464 - 923ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9853 - val_loss: 0.2912 - val_categorical_accuracy: 0.9476 - 868ms/epoch - 6ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9877 - val_loss: 0.3481 - val_categorical_accuracy: 0.9344 - 823ms/epoch - 6ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0939 - categorical_accuracy: 0.9741 - val_loss: 0.2482 - val_categorical_accuracy: 0.9548 - 810ms/epoch - 6ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2632 - val_categorical_accuracy: 0.9527 - 796ms/epoch - 6ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2682 - val_categorical_accuracy: 0.9539 - 810ms/epoch - 6ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2792 - val_categorical_accuracy: 0.9513 - 822ms/epoch - 6ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2793 - val_categorical_accuracy: 0.9523 - 943ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2726 - val_categorical_accuracy: 0.9537 - 1s/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9881 - val_loss: 0.2906 - val_categorical_accuracy: 0.9498 - 980ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.3373 - val_categorical_accuracy: 0.9386 - 943ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9861 - val_loss: 0.2849 - val_categorical_accuracy: 0.9517 - 966ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2846 - val_categorical_accuracy: 0.9493 - 930ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2757 - val_categorical_accuracy: 0.9523 - 930ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2715 - val_categorical_accuracy: 0.9524 - 960ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2773 - val_categorical_accuracy: 0.9529 - 920ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.3012 - val_categorical_accuracy: 0.9481 - 830ms/epoch - 6ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2842 - val_categorical_accuracy: 0.9528 - 820ms/epoch - 6ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2916 - val_categorical_accuracy: 0.9493 - 966ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.3238 - val_categorical_accuracy: 0.9412 - 940ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9736 - val_loss: 0.2496 - val_categorical_accuracy: 0.9519 - 970ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2628 - val_categorical_accuracy: 0.9540 - 1s/epoch - 8ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2716 - val_categorical_accuracy: 0.9517 - 822ms/epoch - 6ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2678 - val_categorical_accuracy: 0.9518 - 710ms/epoch - 5ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2697 - val_categorical_accuracy: 0.9538 - 775ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2698 - val_categorical_accuracy: 0.9518 - 902ms/epoch - 6ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9879 - val_loss: 0.2740 - val_categorical_accuracy: 0.9536 - 930ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2823 - val_categorical_accuracy: 0.9522 - 917ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2994 - val_categorical_accuracy: 0.9494 - 826ms/epoch - 6ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2848 - val_categorical_accuracy: 0.9508 - 950ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.3137 - val_categorical_accuracy: 0.9459 - 821ms/epoch - 6ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2789 - val_categorical_accuracy: 0.9520 - 820ms/epoch - 6ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2823 - val_categorical_accuracy: 0.9499 - 992ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9876 - val_loss: 0.3068 - val_categorical_accuracy: 0.9461 - 820ms/epoch - 6ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.2763 - val_categorical_accuracy: 0.9524 - 760ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2772 - val_categorical_accuracy: 0.9542 - 950ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2879 - val_categorical_accuracy: 0.9525 - 960ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2856 - val_categorical_accuracy: 0.9523 - 940ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2849 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2990 - val_categorical_accuracy: 0.9494 - 790ms/epoch - 6ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2847 - val_categorical_accuracy: 0.9521 - 850ms/epoch - 6ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2843 - val_categorical_accuracy: 0.9533 - 990ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.3048 - val_categorical_accuracy: 0.9475 - 810ms/epoch - 6ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2874 - val_categorical_accuracy: 0.9531 - 830ms/epoch - 6ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9797 - val_loss: 0.2722 - val_categorical_accuracy: 0.9518 - 970ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2805 - val_categorical_accuracy: 0.9509 - 960ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9877 - val_loss: 0.2733 - val_categorical_accuracy: 0.9525 - 930ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.3020 - val_categorical_accuracy: 0.9463 - 920ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2857 - val_categorical_accuracy: 0.9518 - 910ms/epoch - 6ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2761 - val_categorical_accuracy: 0.9534 - 933ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2960 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2821 - val_categorical_accuracy: 0.9543 - 820ms/epoch - 6ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2809 - val_categorical_accuracy: 0.9539 - 840ms/epoch - 6ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2816 - val_categorical_accuracy: 0.9535 - 1s/epoch - 8ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2884 - val_categorical_accuracy: 0.9516 - 950ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2927 - val_categorical_accuracy: 0.9500 - 865ms/epoch - 6ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.2824 - val_categorical_accuracy: 0.9514 - 850ms/epoch - 6ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2819 - val_categorical_accuracy: 0.9514 - 880ms/epoch - 6ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2858 - val_categorical_accuracy: 0.9518 - 890ms/epoch - 6ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2826 - val_categorical_accuracy: 0.9527 - 773ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9873 - val_loss: 0.2852 - val_categorical_accuracy: 0.9531 - 820ms/epoch - 6ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2815 - val_categorical_accuracy: 0.9512 - 960ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2957 - val_categorical_accuracy: 0.9512 - 995ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2970 - val_categorical_accuracy: 0.9511 - 1s/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9876 - val_loss: 0.2898 - val_categorical_accuracy: 0.9504 - 849ms/epoch - 6ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9877 - val_loss: 0.2827 - val_categorical_accuracy: 0.9519 - 845ms/epoch - 6ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2918 - val_categorical_accuracy: 0.9513 - 969ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.3347 - val_categorical_accuracy: 0.9419 - 812ms/epoch - 6ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2763 - val_categorical_accuracy: 0.9528 - 913ms/epoch - 6ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.2876 - val_categorical_accuracy: 0.9509 - 853ms/epoch - 6ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2860 - val_categorical_accuracy: 0.9523 - 848ms/epoch - 6ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9877 - val_loss: 0.3018 - val_categorical_accuracy: 0.9485 - 940ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2968 - val_categorical_accuracy: 0.9505 - 867ms/epoch - 6ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2937 - val_categorical_accuracy: 0.9507 - 934ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2963 - val_categorical_accuracy: 0.9499 - 840ms/epoch - 6ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2861 - val_categorical_accuracy: 0.9533 - 830ms/epoch - 6ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2938 - val_categorical_accuracy: 0.9532 - 972ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2914 - val_categorical_accuracy: 0.9535 - 827ms/epoch - 6ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2930 - val_categorical_accuracy: 0.9527 - 852ms/epoch - 6ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.3101 - val_categorical_accuracy: 0.9484 - 976ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9874 - val_loss: 0.3036 - val_categorical_accuracy: 0.9509 - 809ms/epoch - 6ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.3019 - val_categorical_accuracy: 0.9503 - 837ms/epoch - 6ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9876 - val_loss: 0.2870 - val_categorical_accuracy: 0.9546 - 914ms/epoch - 6ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2991 - val_categorical_accuracy: 0.9495 - 860ms/epoch - 6ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2846 - val_categorical_accuracy: 0.9529 - 830ms/epoch - 6ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2886 - val_categorical_accuracy: 0.9519 - 865ms/epoch - 6ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2964 - val_categorical_accuracy: 0.9517 - 850ms/epoch - 6ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9879 - val_loss: 0.2943 - val_categorical_accuracy: 0.9520 - 1s/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9880 - val_loss: 0.2886 - val_categorical_accuracy: 0.9524 - 843ms/epoch - 6ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9883 - val_loss: 0.2863 - val_categorical_accuracy: 0.9527 - 825ms/epoch - 6ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.3019 - val_categorical_accuracy: 0.9501 - 1s/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.1203 - categorical_accuracy: 0.9683 - val_loss: 0.2602 - val_categorical_accuracy: 0.9468 - 975ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2508 - val_categorical_accuracy: 0.9533 - 835ms/epoch - 6ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2641 - val_categorical_accuracy: 0.9523 - 927ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2756 - val_categorical_accuracy: 0.9514 - 812ms/epoch - 6ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2923 - val_categorical_accuracy: 0.9486 - 849ms/epoch - 6ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2757 - val_categorical_accuracy: 0.9523 - 997ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.2812 - val_categorical_accuracy: 0.9514 - 947ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2931 - val_categorical_accuracy: 0.9527 - 822ms/epoch - 6ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.2837 - val_categorical_accuracy: 0.9525 - 1s/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2799 - val_categorical_accuracy: 0.9529 - 878ms/epoch - 6ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2813 - val_categorical_accuracy: 0.9535 - 825ms/epoch - 6ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.3100 - val_categorical_accuracy: 0.9452 - 950ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.2970 - val_categorical_accuracy: 0.9522 - 840ms/epoch - 6ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2946 - val_categorical_accuracy: 0.9511 - 937ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2895 - val_categorical_accuracy: 0.9540 - 927ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2866 - val_categorical_accuracy: 0.9530 - 838ms/epoch - 6ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2971 - val_categorical_accuracy: 0.9524 - 832ms/epoch - 6ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2952 - val_categorical_accuracy: 0.9522 - 1s/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2984 - val_categorical_accuracy: 0.9510 - 846ms/epoch - 6ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2978 - val_categorical_accuracy: 0.9506 - 825ms/epoch - 6ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2859 - val_categorical_accuracy: 0.9532 - 979ms/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2928 - val_categorical_accuracy: 0.9521 - 897ms/epoch - 6ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.2952 - val_categorical_accuracy: 0.9494 - 833ms/epoch - 6ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2993 - val_categorical_accuracy: 0.9510 - 913ms/epoch - 6ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.3035 - val_categorical_accuracy: 0.9502 - 957ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2866 - val_categorical_accuracy: 0.9512 - 851ms/epoch - 6ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.3519 - val_categorical_accuracy: 0.9442 - 841ms/epoch - 6ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9878 - val_loss: 0.2928 - val_categorical_accuracy: 0.9520 - 995ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2959 - val_categorical_accuracy: 0.9530 - 967ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2950 - val_categorical_accuracy: 0.9516 - 831ms/epoch - 6ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2910 - val_categorical_accuracy: 0.9523 - 848ms/epoch - 6ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9877 - val_loss: 0.2956 - val_categorical_accuracy: 0.9527 - 979ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2985 - val_categorical_accuracy: 0.9491 - 843ms/epoch - 6ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2926 - val_categorical_accuracy: 0.9536 - 875ms/epoch - 6ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9881 - val_loss: 0.2995 - val_categorical_accuracy: 0.9518 - 1s/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2916 - val_categorical_accuracy: 0.9520 - 937ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.4020 - val_categorical_accuracy: 0.9264 - 855ms/epoch - 6ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9715 - val_loss: 0.2675 - val_categorical_accuracy: 0.9515 - 905ms/epoch - 6ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2716 - val_categorical_accuracy: 0.9535 - 915ms/epoch - 6ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2769 - val_categorical_accuracy: 0.9529 - 842ms/epoch - 6ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2933 - val_categorical_accuracy: 0.9489 - 902ms/epoch - 6ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2873 - val_categorical_accuracy: 0.9515 - 917ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2893 - val_categorical_accuracy: 0.9515 - 792ms/epoch - 6ms/step
processing fold # 5 
Epoch 1/1500
141/141 - 2s - loss: 1.9600 - categorical_accuracy: 0.2551 - val_loss: 1.7456 - val_categorical_accuracy: 0.3614 - 2s/epoch - 13ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6063 - categorical_accuracy: 0.3946 - val_loss: 1.8450 - val_categorical_accuracy: 0.3116 - 943ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3912 - categorical_accuracy: 0.4790 - val_loss: 1.2166 - val_categorical_accuracy: 0.5296 - 852ms/epoch - 6ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2038 - categorical_accuracy: 0.5475 - val_loss: 1.0657 - val_categorical_accuracy: 0.6102 - 937ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0921 - categorical_accuracy: 0.5962 - val_loss: 1.0228 - val_categorical_accuracy: 0.6118 - 814ms/epoch - 6ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9968 - categorical_accuracy: 0.6317 - val_loss: 1.0107 - val_categorical_accuracy: 0.6202 - 800ms/epoch - 6ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8783 - categorical_accuracy: 0.6736 - val_loss: 0.8216 - val_categorical_accuracy: 0.6911 - 1s/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.9268 - categorical_accuracy: 0.6679 - val_loss: 1.9299 - val_categorical_accuracy: 0.2322 - 985ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 1.0289 - categorical_accuracy: 0.6268 - val_loss: 0.7216 - val_categorical_accuracy: 0.7336 - 863ms/epoch - 6ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.6846 - categorical_accuracy: 0.7437 - val_loss: 0.6200 - val_categorical_accuracy: 0.7633 - 882ms/epoch - 6ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6504 - categorical_accuracy: 0.7591 - val_loss: 0.6226 - val_categorical_accuracy: 0.7572 - 987ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6386 - categorical_accuracy: 0.7675 - val_loss: 0.6526 - val_categorical_accuracy: 0.7530 - 975ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5770 - categorical_accuracy: 0.7886 - val_loss: 0.4917 - val_categorical_accuracy: 0.8139 - 856ms/epoch - 6ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5387 - categorical_accuracy: 0.8019 - val_loss: 0.5836 - val_categorical_accuracy: 0.7889 - 857ms/epoch - 6ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.9523 - categorical_accuracy: 0.6743 - val_loss: 1.1664 - val_categorical_accuracy: 0.5805 - 921ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.6186 - categorical_accuracy: 0.7749 - val_loss: 0.4974 - val_categorical_accuracy: 0.8142 - 842ms/epoch - 6ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.6946 - categorical_accuracy: 0.7668 - val_loss: 0.4672 - val_categorical_accuracy: 0.8270 - 893ms/epoch - 6ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4608 - categorical_accuracy: 0.8311 - val_loss: 0.4077 - val_categorical_accuracy: 0.8508 - 909ms/epoch - 6ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4303 - categorical_accuracy: 0.8428 - val_loss: 0.7703 - val_categorical_accuracy: 0.7544 - 900ms/epoch - 6ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4197 - categorical_accuracy: 0.8477 - val_loss: 0.3650 - val_categorical_accuracy: 0.8688 - 935ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.3918 - categorical_accuracy: 0.8573 - val_loss: 0.3528 - val_categorical_accuracy: 0.8738 - 850ms/epoch - 6ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4604 - categorical_accuracy: 0.8444 - val_loss: 0.3977 - val_categorical_accuracy: 0.8539 - 866ms/epoch - 6ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.3629 - categorical_accuracy: 0.8689 - val_loss: 0.4636 - val_categorical_accuracy: 0.8281 - 942ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3541 - categorical_accuracy: 0.8727 - val_loss: 0.3711 - val_categorical_accuracy: 0.8648 - 884ms/epoch - 6ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3933 - categorical_accuracy: 0.8632 - val_loss: 0.3499 - val_categorical_accuracy: 0.8790 - 925ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3328 - categorical_accuracy: 0.8823 - val_loss: 0.3351 - val_categorical_accuracy: 0.8816 - 861ms/epoch - 6ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3185 - categorical_accuracy: 0.8873 - val_loss: 0.3762 - val_categorical_accuracy: 0.8616 - 878ms/epoch - 6ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3535 - categorical_accuracy: 0.8798 - val_loss: 0.3420 - val_categorical_accuracy: 0.8780 - 934ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.2913 - categorical_accuracy: 0.8963 - val_loss: 0.2883 - val_categorical_accuracy: 0.8968 - 864ms/epoch - 6ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.2856 - categorical_accuracy: 0.8976 - val_loss: 0.2626 - val_categorical_accuracy: 0.9078 - 1s/epoch - 8ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3599 - categorical_accuracy: 0.8803 - val_loss: 0.2732 - val_categorical_accuracy: 0.9039 - 1s/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.2594 - categorical_accuracy: 0.9073 - val_loss: 0.3465 - val_categorical_accuracy: 0.8729 - 853ms/epoch - 6ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.2709 - categorical_accuracy: 0.9039 - val_loss: 0.2692 - val_categorical_accuracy: 0.9069 - 919ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3019 - categorical_accuracy: 0.8987 - val_loss: 0.2808 - val_categorical_accuracy: 0.8988 - 987ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2444 - categorical_accuracy: 0.9133 - val_loss: 0.2471 - val_categorical_accuracy: 0.9124 - 924ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2495 - categorical_accuracy: 0.9134 - val_loss: 0.2599 - val_categorical_accuracy: 0.9068 - 862ms/epoch - 6ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3943 - categorical_accuracy: 0.8755 - val_loss: 0.3971 - val_categorical_accuracy: 0.8635 - 921ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2661 - categorical_accuracy: 0.9072 - val_loss: 0.2890 - val_categorical_accuracy: 0.8923 - 845ms/epoch - 6ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2267 - categorical_accuracy: 0.9207 - val_loss: 0.2519 - val_categorical_accuracy: 0.9097 - 882ms/epoch - 6ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2156 - categorical_accuracy: 0.9243 - val_loss: 0.2564 - val_categorical_accuracy: 0.9093 - 900ms/epoch - 6ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2426 - categorical_accuracy: 0.9175 - val_loss: 0.2195 - val_categorical_accuracy: 0.9228 - 837ms/epoch - 6ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.1964 - categorical_accuracy: 0.9310 - val_loss: 0.2378 - val_categorical_accuracy: 0.9156 - 931ms/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2031 - categorical_accuracy: 0.9282 - val_loss: 0.2158 - val_categorical_accuracy: 0.9245 - 861ms/epoch - 6ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2195 - categorical_accuracy: 0.9258 - val_loss: 0.2037 - val_categorical_accuracy: 0.9291 - 928ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.1834 - categorical_accuracy: 0.9363 - val_loss: 0.2674 - val_categorical_accuracy: 0.9049 - 857ms/epoch - 6ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2200 - categorical_accuracy: 0.9262 - val_loss: 0.1864 - val_categorical_accuracy: 0.9353 - 899ms/epoch - 6ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2292 - categorical_accuracy: 0.9241 - val_loss: 0.2061 - val_categorical_accuracy: 0.9296 - 968ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.1700 - categorical_accuracy: 0.9414 - val_loss: 0.2255 - val_categorical_accuracy: 0.9231 - 766ms/epoch - 5ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.1870 - categorical_accuracy: 0.9353 - val_loss: 0.2723 - val_categorical_accuracy: 0.9075 - 763ms/epoch - 5ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.1691 - categorical_accuracy: 0.9416 - val_loss: 0.2178 - val_categorical_accuracy: 0.9240 - 898ms/epoch - 6ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2165 - categorical_accuracy: 0.9304 - val_loss: 0.5805 - val_categorical_accuracy: 0.7936 - 922ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.1737 - categorical_accuracy: 0.9408 - val_loss: 0.1971 - val_categorical_accuracy: 0.9333 - 1s/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.1625 - categorical_accuracy: 0.9443 - val_loss: 0.1762 - val_categorical_accuracy: 0.9385 - 978ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.1677 - categorical_accuracy: 0.9437 - val_loss: 0.1892 - val_categorical_accuracy: 0.9349 - 869ms/epoch - 6ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.1739 - categorical_accuracy: 0.9425 - val_loss: 0.2278 - val_categorical_accuracy: 0.9226 - 896ms/epoch - 6ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.1422 - categorical_accuracy: 0.9512 - val_loss: 0.2578 - val_categorical_accuracy: 0.9108 - 941ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1757 - categorical_accuracy: 0.9414 - val_loss: 0.1845 - val_categorical_accuracy: 0.9365 - 823ms/epoch - 6ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.1425 - categorical_accuracy: 0.9511 - val_loss: 0.6137 - val_categorical_accuracy: 0.8102 - 875ms/epoch - 6ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2256 - categorical_accuracy: 0.9311 - val_loss: 0.1719 - val_categorical_accuracy: 0.9426 - 980ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1402 - categorical_accuracy: 0.9515 - val_loss: 0.1903 - val_categorical_accuracy: 0.9347 - 846ms/epoch - 6ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1475 - categorical_accuracy: 0.9497 - val_loss: 0.1967 - val_categorical_accuracy: 0.9350 - 925ms/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1454 - categorical_accuracy: 0.9514 - val_loss: 0.1602 - val_categorical_accuracy: 0.9445 - 886ms/epoch - 6ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9571 - val_loss: 0.1647 - val_categorical_accuracy: 0.9446 - 919ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1982 - categorical_accuracy: 0.9370 - val_loss: 0.1741 - val_categorical_accuracy: 0.9401 - 957ms/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9580 - val_loss: 0.1540 - val_categorical_accuracy: 0.9471 - 870ms/epoch - 6ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1334 - categorical_accuracy: 0.9554 - val_loss: 0.1618 - val_categorical_accuracy: 0.9449 - 886ms/epoch - 6ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1233 - categorical_accuracy: 0.9576 - val_loss: 0.1768 - val_categorical_accuracy: 0.9410 - 988ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1413 - categorical_accuracy: 0.9531 - val_loss: 0.1597 - val_categorical_accuracy: 0.9451 - 819ms/epoch - 6ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1161 - categorical_accuracy: 0.9605 - val_loss: 0.1606 - val_categorical_accuracy: 0.9462 - 879ms/epoch - 6ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9602 - val_loss: 0.1829 - val_categorical_accuracy: 0.9391 - 894ms/epoch - 6ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1477 - categorical_accuracy: 0.9511 - val_loss: 0.1607 - val_categorical_accuracy: 0.9459 - 842ms/epoch - 6ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1178 - categorical_accuracy: 0.9604 - val_loss: 0.1688 - val_categorical_accuracy: 0.9412 - 945ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1174 - categorical_accuracy: 0.9598 - val_loss: 0.1712 - val_categorical_accuracy: 0.9416 - 891ms/epoch - 6ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1182 - categorical_accuracy: 0.9604 - val_loss: 0.1808 - val_categorical_accuracy: 0.9359 - 874ms/epoch - 6ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1326 - categorical_accuracy: 0.9572 - val_loss: 0.1579 - val_categorical_accuracy: 0.9482 - 972ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9642 - val_loss: 0.1486 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1082 - categorical_accuracy: 0.9635 - val_loss: 0.1739 - val_categorical_accuracy: 0.9408 - 904ms/epoch - 6ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1368 - categorical_accuracy: 0.9553 - val_loss: 0.1537 - val_categorical_accuracy: 0.9486 - 876ms/epoch - 6ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1005 - categorical_accuracy: 0.9659 - val_loss: 0.1673 - val_categorical_accuracy: 0.9428 - 861ms/epoch - 6ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1123 - categorical_accuracy: 0.9619 - val_loss: 0.1470 - val_categorical_accuracy: 0.9514 - 995ms/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1077 - categorical_accuracy: 0.9641 - val_loss: 0.1492 - val_categorical_accuracy: 0.9517 - 875ms/epoch - 6ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1162 - categorical_accuracy: 0.9621 - val_loss: 0.1447 - val_categorical_accuracy: 0.9514 - 931ms/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9656 - val_loss: 0.1642 - val_categorical_accuracy: 0.9457 - 846ms/epoch - 6ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1329 - categorical_accuracy: 0.9577 - val_loss: 0.1456 - val_categorical_accuracy: 0.9516 - 890ms/epoch - 6ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1381 - categorical_accuracy: 0.9572 - val_loss: 0.1531 - val_categorical_accuracy: 0.9487 - 935ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1260 - categorical_accuracy: 0.9594 - val_loss: 0.1503 - val_categorical_accuracy: 0.9508 - 882ms/epoch - 6ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.0953 - categorical_accuracy: 0.9677 - val_loss: 0.1446 - val_categorical_accuracy: 0.9520 - 946ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9690 - val_loss: 0.5679 - val_categorical_accuracy: 0.8477 - 929ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1065 - categorical_accuracy: 0.9652 - val_loss: 0.1474 - val_categorical_accuracy: 0.9518 - 826ms/epoch - 6ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1153 - categorical_accuracy: 0.9620 - val_loss: 0.1417 - val_categorical_accuracy: 0.9538 - 902ms/epoch - 6ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.0843 - categorical_accuracy: 0.9716 - val_loss: 0.2063 - val_categorical_accuracy: 0.9356 - 922ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1144 - categorical_accuracy: 0.9624 - val_loss: 0.1574 - val_categorical_accuracy: 0.9497 - 829ms/epoch - 6ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9696 - val_loss: 0.1428 - val_categorical_accuracy: 0.9533 - 948ms/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1219 - categorical_accuracy: 0.9610 - val_loss: 0.1510 - val_categorical_accuracy: 0.9506 - 881ms/epoch - 6ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.0976 - categorical_accuracy: 0.9673 - val_loss: 0.1499 - val_categorical_accuracy: 0.9501 - 831ms/epoch - 6ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.0846 - categorical_accuracy: 0.9713 - val_loss: 0.1575 - val_categorical_accuracy: 0.9474 - 870ms/epoch - 6ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9675 - val_loss: 0.1764 - val_categorical_accuracy: 0.9442 - 918ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9732 - val_loss: 0.2095 - val_categorical_accuracy: 0.9347 - 840ms/epoch - 6ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.0995 - categorical_accuracy: 0.9667 - val_loss: 0.1530 - val_categorical_accuracy: 0.9489 - 968ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9709 - val_loss: 0.1453 - val_categorical_accuracy: 0.9536 - 840ms/epoch - 6ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.0914 - categorical_accuracy: 0.9696 - val_loss: 0.1445 - val_categorical_accuracy: 0.9561 - 881ms/epoch - 6ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.0801 - categorical_accuracy: 0.9726 - val_loss: 0.1811 - val_categorical_accuracy: 0.9410 - 887ms/epoch - 6ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1021 - categorical_accuracy: 0.9673 - val_loss: 0.1438 - val_categorical_accuracy: 0.9546 - 902ms/epoch - 6ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.0882 - categorical_accuracy: 0.9699 - val_loss: 0.1451 - val_categorical_accuracy: 0.9535 - 949ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.0799 - categorical_accuracy: 0.9729 - val_loss: 0.1520 - val_categorical_accuracy: 0.9494 - 892ms/epoch - 6ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9723 - val_loss: 0.1498 - val_categorical_accuracy: 0.9526 - 902ms/epoch - 6ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1147 - categorical_accuracy: 0.9640 - val_loss: 0.1591 - val_categorical_accuracy: 0.9497 - 927ms/epoch - 7ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9744 - val_loss: 0.1360 - val_categorical_accuracy: 0.9585 - 896ms/epoch - 6ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9724 - val_loss: 0.1449 - val_categorical_accuracy: 0.9535 - 898ms/epoch - 6ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9747 - val_loss: 0.1490 - val_categorical_accuracy: 0.9553 - 847ms/epoch - 6ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1011 - categorical_accuracy: 0.9673 - val_loss: 0.1758 - val_categorical_accuracy: 0.9428 - 945ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.0815 - categorical_accuracy: 0.9720 - val_loss: 0.1387 - val_categorical_accuracy: 0.9566 - 922ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1497 - categorical_accuracy: 0.9559 - val_loss: 0.1498 - val_categorical_accuracy: 0.9527 - 856ms/epoch - 6ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1030 - categorical_accuracy: 0.9669 - val_loss: 0.1389 - val_categorical_accuracy: 0.9563 - 948ms/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.0713 - categorical_accuracy: 0.9756 - val_loss: 0.1433 - val_categorical_accuracy: 0.9549 - 870ms/epoch - 6ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.0724 - categorical_accuracy: 0.9754 - val_loss: 0.1781 - val_categorical_accuracy: 0.9463 - 852ms/epoch - 6ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9712 - val_loss: 0.1418 - val_categorical_accuracy: 0.9569 - 967ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9754 - val_loss: 0.1614 - val_categorical_accuracy: 0.9487 - 908ms/epoch - 6ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9735 - val_loss: 0.1799 - val_categorical_accuracy: 0.9422 - 886ms/epoch - 6ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0724 - categorical_accuracy: 0.9751 - val_loss: 0.1418 - val_categorical_accuracy: 0.9577 - 937ms/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9700 - val_loss: 0.1514 - val_categorical_accuracy: 0.9517 - 856ms/epoch - 6ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9764 - val_loss: 0.1594 - val_categorical_accuracy: 0.9492 - 935ms/epoch - 7ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9686 - val_loss: 0.1748 - val_categorical_accuracy: 0.9389 - 843ms/epoch - 6ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9770 - val_loss: 0.1537 - val_categorical_accuracy: 0.9534 - 898ms/epoch - 6ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0934 - categorical_accuracy: 0.9699 - val_loss: 0.1460 - val_categorical_accuracy: 0.9552 - 859ms/epoch - 6ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9775 - val_loss: 0.1355 - val_categorical_accuracy: 0.9597 - 818ms/epoch - 6ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9756 - val_loss: 0.1636 - val_categorical_accuracy: 0.9488 - 952ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9747 - val_loss: 0.1536 - val_categorical_accuracy: 0.9550 - 814ms/epoch - 6ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9775 - val_loss: 0.1591 - val_categorical_accuracy: 0.9542 - 907ms/epoch - 6ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9731 - val_loss: 0.1449 - val_categorical_accuracy: 0.9574 - 927ms/epoch - 7ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9773 - val_loss: 0.1868 - val_categorical_accuracy: 0.9447 - 880ms/epoch - 6ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9762 - val_loss: 0.1426 - val_categorical_accuracy: 0.9580 - 952ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9782 - val_loss: 0.1621 - val_categorical_accuracy: 0.9494 - 892ms/epoch - 6ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9774 - val_loss: 0.1462 - val_categorical_accuracy: 0.9557 - 909ms/epoch - 6ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9772 - val_loss: 0.1553 - val_categorical_accuracy: 0.9550 - 889ms/epoch - 6ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1562 - categorical_accuracy: 0.9538 - val_loss: 0.1467 - val_categorical_accuracy: 0.9537 - 879ms/epoch - 6ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9777 - val_loss: 0.1533 - val_categorical_accuracy: 0.9544 - 932ms/epoch - 7ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9770 - val_loss: 0.1423 - val_categorical_accuracy: 0.9575 - 832ms/epoch - 6ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9785 - val_loss: 0.1534 - val_categorical_accuracy: 0.9560 - 941ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9673 - val_loss: 0.1377 - val_categorical_accuracy: 0.9592 - 846ms/epoch - 6ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9797 - val_loss: 0.1407 - val_categorical_accuracy: 0.9591 - 905ms/epoch - 6ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9793 - val_loss: 0.1637 - val_categorical_accuracy: 0.9528 - 934ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9742 - val_loss: 0.1545 - val_categorical_accuracy: 0.9549 - 859ms/epoch - 6ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9786 - val_loss: 0.1540 - val_categorical_accuracy: 0.9539 - 940ms/epoch - 7ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9788 - val_loss: 0.1518 - val_categorical_accuracy: 0.9558 - 854ms/epoch - 6ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9776 - val_loss: 0.1791 - val_categorical_accuracy: 0.9494 - 892ms/epoch - 6ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0931 - categorical_accuracy: 0.9716 - val_loss: 0.1482 - val_categorical_accuracy: 0.9561 - 943ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9795 - val_loss: 0.1590 - val_categorical_accuracy: 0.9555 - 817ms/epoch - 6ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9790 - val_loss: 0.1434 - val_categorical_accuracy: 0.9582 - 943ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9788 - val_loss: 0.2055 - val_categorical_accuracy: 0.9408 - 872ms/epoch - 6ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9780 - val_loss: 0.1485 - val_categorical_accuracy: 0.9565 - 881ms/epoch - 6ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0857 - categorical_accuracy: 0.9726 - val_loss: 0.1454 - val_categorical_accuracy: 0.9576 - 967ms/epoch - 7ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9799 - val_loss: 0.1512 - val_categorical_accuracy: 0.9567 - 842ms/epoch - 6ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9798 - val_loss: 0.1422 - val_categorical_accuracy: 0.9604 - 896ms/epoch - 6ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9722 - val_loss: 0.1730 - val_categorical_accuracy: 0.9504 - 838ms/epoch - 6ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9801 - val_loss: 0.1482 - val_categorical_accuracy: 0.9580 - 855ms/epoch - 6ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9719 - val_loss: 0.1348 - val_categorical_accuracy: 0.9589 - 992ms/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9794 - val_loss: 0.1452 - val_categorical_accuracy: 0.9567 - 859ms/epoch - 6ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9806 - val_loss: 0.1513 - val_categorical_accuracy: 0.9572 - 858ms/epoch - 6ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9797 - val_loss: 0.1427 - val_categorical_accuracy: 0.9601 - 985ms/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9742 - val_loss: 0.1479 - val_categorical_accuracy: 0.9579 - 881ms/epoch - 6ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9805 - val_loss: 0.1548 - val_categorical_accuracy: 0.9581 - 914ms/epoch - 6ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9695 - val_loss: 0.1382 - val_categorical_accuracy: 0.9608 - 888ms/epoch - 6ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9802 - val_loss: 0.1489 - val_categorical_accuracy: 0.9570 - 882ms/epoch - 6ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9801 - val_loss: 0.1770 - val_categorical_accuracy: 0.9499 - 947ms/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9803 - val_loss: 0.1415 - val_categorical_accuracy: 0.9609 - 841ms/epoch - 6ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1130 - categorical_accuracy: 0.9663 - val_loss: 0.1470 - val_categorical_accuracy: 0.9539 - 888ms/epoch - 6ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9802 - val_loss: 0.1487 - val_categorical_accuracy: 0.9578 - 928ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0743 - categorical_accuracy: 0.9754 - val_loss: 0.1527 - val_categorical_accuracy: 0.9555 - 865ms/epoch - 6ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9809 - val_loss: 0.1621 - val_categorical_accuracy: 0.9510 - 899ms/epoch - 6ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9812 - val_loss: 0.1377 - val_categorical_accuracy: 0.9613 - 866ms/epoch - 6ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9734 - val_loss: 0.1393 - val_categorical_accuracy: 0.9600 - 883ms/epoch - 6ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9809 - val_loss: 0.1513 - val_categorical_accuracy: 0.9577 - 889ms/epoch - 6ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9799 - val_loss: 0.1373 - val_categorical_accuracy: 0.9625 - 885ms/epoch - 6ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9743 - val_loss: 0.1372 - val_categorical_accuracy: 0.9601 - 904ms/epoch - 6ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9820 - val_loss: 0.1487 - val_categorical_accuracy: 0.9595 - 917ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9816 - val_loss: 0.1363 - val_categorical_accuracy: 0.9616 - 924ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9794 - val_loss: 0.1626 - val_categorical_accuracy: 0.9549 - 830ms/epoch - 6ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.1380 - val_categorical_accuracy: 0.9609 - 833ms/epoch - 6ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9783 - val_loss: 0.1535 - val_categorical_accuracy: 0.9566 - 942ms/epoch - 7ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9807 - val_loss: 0.1548 - val_categorical_accuracy: 0.9567 - 924ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9807 - val_loss: 0.1614 - val_categorical_accuracy: 0.9552 - 880ms/epoch - 6ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9804 - val_loss: 0.1431 - val_categorical_accuracy: 0.9615 - 959ms/epoch - 7ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9798 - val_loss: 0.1550 - val_categorical_accuracy: 0.9572 - 871ms/epoch - 6ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9809 - val_loss: 0.1463 - val_categorical_accuracy: 0.9610 - 851ms/epoch - 6ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9811 - val_loss: 0.1500 - val_categorical_accuracy: 0.9591 - 909ms/epoch - 6ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.1172 - categorical_accuracy: 0.9664 - val_loss: 0.1405 - val_categorical_accuracy: 0.9594 - 813ms/epoch - 6ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9821 - val_loss: 0.1570 - val_categorical_accuracy: 0.9576 - 938ms/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9819 - val_loss: 0.1538 - val_categorical_accuracy: 0.9592 - 832ms/epoch - 6ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9817 - val_loss: 0.1792 - val_categorical_accuracy: 0.9492 - 839ms/epoch - 6ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9810 - val_loss: 0.1422 - val_categorical_accuracy: 0.9617 - 943ms/epoch - 7ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9813 - val_loss: 0.1528 - val_categorical_accuracy: 0.9600 - 851ms/epoch - 6ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9817 - val_loss: 0.1633 - val_categorical_accuracy: 0.9560 - 865ms/epoch - 6ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9813 - val_loss: 0.1578 - val_categorical_accuracy: 0.9582 - 909ms/epoch - 6ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9817 - val_loss: 0.1681 - val_categorical_accuracy: 0.9529 - 846ms/epoch - 6ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9820 - val_loss: 0.1571 - val_categorical_accuracy: 0.9593 - 932ms/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.1492 - val_categorical_accuracy: 0.9587 - 955ms/epoch - 7ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9763 - val_loss: 0.1479 - val_categorical_accuracy: 0.9597 - 873ms/epoch - 6ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9823 - val_loss: 0.1387 - val_categorical_accuracy: 0.9625 - 934ms/epoch - 7ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.1489 - val_categorical_accuracy: 0.9598 - 957ms/epoch - 7ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9815 - val_loss: 0.1520 - val_categorical_accuracy: 0.9601 - 834ms/epoch - 6ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0814 - categorical_accuracy: 0.9747 - val_loss: 0.1401 - val_categorical_accuracy: 0.9602 - 861ms/epoch - 6ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.1468 - val_categorical_accuracy: 0.9605 - 1s/epoch - 7ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9822 - val_loss: 0.1443 - val_categorical_accuracy: 0.9610 - 816ms/epoch - 6ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9773 - val_loss: 0.2115 - val_categorical_accuracy: 0.9318 - 842ms/epoch - 6ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9816 - val_loss: 0.1538 - val_categorical_accuracy: 0.9607 - 1s/epoch - 7ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9822 - val_loss: 0.1472 - val_categorical_accuracy: 0.9614 - 948ms/epoch - 7ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9811 - val_loss: 0.1574 - val_categorical_accuracy: 0.9578 - 815ms/epoch - 6ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9833 - val_loss: 0.1598 - val_categorical_accuracy: 0.9585 - 851ms/epoch - 6ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9754 - val_loss: 0.1426 - val_categorical_accuracy: 0.9615 - 1s/epoch - 8ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9832 - val_loss: 0.1762 - val_categorical_accuracy: 0.9507 - 800ms/epoch - 6ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9814 - val_loss: 0.1532 - val_categorical_accuracy: 0.9590 - 788ms/epoch - 6ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9818 - val_loss: 0.1551 - val_categorical_accuracy: 0.9601 - 964ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9823 - val_loss: 0.1504 - val_categorical_accuracy: 0.9609 - 882ms/epoch - 6ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9833 - val_loss: 0.1422 - val_categorical_accuracy: 0.9624 - 865ms/epoch - 6ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9823 - val_loss: 0.1413 - val_categorical_accuracy: 0.9642 - 916ms/epoch - 6ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9821 - val_loss: 0.1381 - val_categorical_accuracy: 0.9649 - 995ms/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9829 - val_loss: 0.1869 - val_categorical_accuracy: 0.9527 - 793ms/epoch - 6ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.2318 - val_categorical_accuracy: 0.9423 - 793ms/epoch - 6ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9822 - val_loss: 0.2010 - val_categorical_accuracy: 0.9482 - 926ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9827 - val_loss: 0.1923 - val_categorical_accuracy: 0.9470 - 873ms/epoch - 6ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.2330 - categorical_accuracy: 0.9353 - val_loss: 0.1716 - val_categorical_accuracy: 0.9506 - 886ms/epoch - 6ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1470 - val_categorical_accuracy: 0.9612 - 952ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9830 - val_loss: 0.1399 - val_categorical_accuracy: 0.9637 - 844ms/epoch - 6ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9804 - val_loss: 0.1456 - val_categorical_accuracy: 0.9621 - 909ms/epoch - 6ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1907 - val_categorical_accuracy: 0.9513 - 858ms/epoch - 6ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.1600 - val_categorical_accuracy: 0.9572 - 840ms/epoch - 6ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9772 - val_loss: 0.1367 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1435 - val_categorical_accuracy: 0.9624 - 899ms/epoch - 6ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1592 - val_categorical_accuracy: 0.9585 - 919ms/epoch - 7ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9780 - val_loss: 0.1463 - val_categorical_accuracy: 0.9615 - 1s/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1592 - val_categorical_accuracy: 0.9561 - 906ms/epoch - 6ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9832 - val_loss: 0.1485 - val_categorical_accuracy: 0.9620 - 821ms/epoch - 6ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1705 - val_categorical_accuracy: 0.9558 - 902ms/epoch - 6ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9752 - val_loss: 0.1393 - val_categorical_accuracy: 0.9615 - 937ms/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9826 - val_loss: 0.1474 - val_categorical_accuracy: 0.9624 - 823ms/epoch - 6ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.1543 - val_categorical_accuracy: 0.9618 - 908ms/epoch - 6ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9822 - val_loss: 0.1470 - val_categorical_accuracy: 0.9608 - 1s/epoch - 8ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.1658 - val_categorical_accuracy: 0.9590 - 821ms/epoch - 6ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9820 - val_loss: 0.1599 - val_categorical_accuracy: 0.9589 - 810ms/epoch - 6ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.1421 - val_categorical_accuracy: 0.9640 - 1s/epoch - 7ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1471 - val_categorical_accuracy: 0.9627 - 870ms/epoch - 6ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9834 - val_loss: 0.1464 - val_categorical_accuracy: 0.9624 - 855ms/epoch - 6ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.1710 - val_categorical_accuracy: 0.9578 - 882ms/epoch - 6ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9835 - val_loss: 0.1501 - val_categorical_accuracy: 0.9623 - 839ms/epoch - 6ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9787 - val_loss: 0.1452 - val_categorical_accuracy: 0.9626 - 866ms/epoch - 6ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1666 - val_categorical_accuracy: 0.9577 - 944ms/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.1633 - val_categorical_accuracy: 0.9566 - 828ms/epoch - 6ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9835 - val_loss: 0.1490 - val_categorical_accuracy: 0.9633 - 839ms/epoch - 6ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9759 - val_loss: 0.1618 - val_categorical_accuracy: 0.9570 - 956ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.1539 - val_categorical_accuracy: 0.9614 - 840ms/epoch - 6ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9840 - val_loss: 0.1467 - val_categorical_accuracy: 0.9623 - 850ms/epoch - 6ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1581 - val_categorical_accuracy: 0.9596 - 820ms/epoch - 6ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9836 - val_loss: 0.1533 - val_categorical_accuracy: 0.9622 - 793ms/epoch - 6ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9817 - val_loss: 0.1633 - val_categorical_accuracy: 0.9576 - 980ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9823 - val_loss: 0.1526 - val_categorical_accuracy: 0.9624 - 882ms/epoch - 6ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1601 - val_categorical_accuracy: 0.9589 - 831ms/epoch - 6ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.2640 - val_categorical_accuracy: 0.9322 - 987ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.1506 - val_categorical_accuracy: 0.9619 - 782ms/epoch - 6ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1543 - val_categorical_accuracy: 0.9622 - 800ms/epoch - 6ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9826 - val_loss: 0.1467 - val_categorical_accuracy: 0.9634 - 886ms/epoch - 6ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.2519 - val_categorical_accuracy: 0.9362 - 817ms/epoch - 6ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9755 - val_loss: 0.1603 - val_categorical_accuracy: 0.9560 - 975ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9845 - val_loss: 0.1610 - val_categorical_accuracy: 0.9604 - 779ms/epoch - 6ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9856 - val_loss: 0.1656 - val_categorical_accuracy: 0.9589 - 750ms/epoch - 5ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9804 - val_loss: 0.1498 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1480 - val_categorical_accuracy: 0.9640 - 915ms/epoch - 6ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1590 - val_categorical_accuracy: 0.9614 - 814ms/epoch - 6ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1501 - val_categorical_accuracy: 0.9632 - 816ms/epoch - 6ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9833 - val_loss: 0.1783 - val_categorical_accuracy: 0.9542 - 925ms/epoch - 7ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.2032 - val_categorical_accuracy: 0.9487 - 812ms/epoch - 6ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9674 - val_loss: 0.1889 - val_categorical_accuracy: 0.9482 - 838ms/epoch - 6ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9844 - val_loss: 0.1602 - val_categorical_accuracy: 0.9608 - 953ms/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1472 - val_categorical_accuracy: 0.9631 - 831ms/epoch - 6ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1644 - val_categorical_accuracy: 0.9610 - 874ms/epoch - 6ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9764 - val_loss: 0.1473 - val_categorical_accuracy: 0.9615 - 826ms/epoch - 6ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.1838 - val_categorical_accuracy: 0.9536 - 885ms/epoch - 6ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9845 - val_loss: 0.1622 - val_categorical_accuracy: 0.9606 - 882ms/epoch - 6ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.1564 - val_categorical_accuracy: 0.9628 - 905ms/epoch - 6ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.1602 - val_categorical_accuracy: 0.9613 - 788ms/epoch - 6ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.1509 - val_categorical_accuracy: 0.9623 - 757ms/epoch - 5ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9845 - val_loss: 0.1578 - val_categorical_accuracy: 0.9625 - 790ms/epoch - 6ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9820 - val_loss: 0.1504 - val_categorical_accuracy: 0.9629 - 1s/epoch - 8ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1489 - val_categorical_accuracy: 0.9649 - 971ms/epoch - 7ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.1584 - val_categorical_accuracy: 0.9614 - 1s/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9805 - val_loss: 0.1561 - val_categorical_accuracy: 0.9601 - 992ms/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1594 - val_categorical_accuracy: 0.9617 - 914ms/epoch - 6ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1760 - val_categorical_accuracy: 0.9574 - 806ms/epoch - 6ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1537 - val_categorical_accuracy: 0.9647 - 911ms/epoch - 6ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1592 - val_categorical_accuracy: 0.9633 - 962ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9807 - val_loss: 0.1543 - val_categorical_accuracy: 0.9616 - 963ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.1593 - val_categorical_accuracy: 0.9630 - 857ms/epoch - 6ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1702 - val_categorical_accuracy: 0.9609 - 902ms/epoch - 6ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1968 - val_categorical_accuracy: 0.9528 - 830ms/epoch - 6ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9789 - val_loss: 0.1481 - val_categorical_accuracy: 0.9632 - 860ms/epoch - 6ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1564 - val_categorical_accuracy: 0.9614 - 932ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.1492 - val_categorical_accuracy: 0.9637 - 932ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1542 - val_categorical_accuracy: 0.9616 - 865ms/epoch - 6ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1629 - val_categorical_accuracy: 0.9616 - 902ms/epoch - 6ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1653 - val_categorical_accuracy: 0.9582 - 1s/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1632 - val_categorical_accuracy: 0.9624 - 947ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1691 - val_categorical_accuracy: 0.9603 - 865ms/epoch - 6ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9730 - val_loss: 0.1481 - val_categorical_accuracy: 0.9617 - 969ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.1551 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1551 - val_categorical_accuracy: 0.9620 - 936ms/epoch - 7ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9838 - val_loss: 0.1598 - val_categorical_accuracy: 0.9612 - 850ms/epoch - 6ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9848 - val_loss: 0.1617 - val_categorical_accuracy: 0.9606 - 918ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9852 - val_loss: 0.7113 - val_categorical_accuracy: 0.8576 - 897ms/epoch - 6ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9813 - val_loss: 0.1476 - val_categorical_accuracy: 0.9627 - 837ms/epoch - 6ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1508 - val_categorical_accuracy: 0.9632 - 928ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9829 - val_loss: 0.1508 - val_categorical_accuracy: 0.9621 - 915ms/epoch - 6ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1554 - val_categorical_accuracy: 0.9627 - 860ms/epoch - 6ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1706 - val_categorical_accuracy: 0.9582 - 916ms/epoch - 6ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.1616 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9843 - val_loss: 0.1619 - val_categorical_accuracy: 0.9614 - 993ms/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.1629 - val_categorical_accuracy: 0.9634 - 880ms/epoch - 6ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9857 - val_loss: 0.1612 - val_categorical_accuracy: 0.9631 - 833ms/epoch - 6ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9850 - val_loss: 0.1644 - val_categorical_accuracy: 0.9616 - 893ms/epoch - 6ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.1689 - val_categorical_accuracy: 0.9599 - 974ms/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9855 - val_loss: 0.1528 - val_categorical_accuracy: 0.9636 - 840ms/epoch - 6ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1559 - val_categorical_accuracy: 0.9637 - 871ms/epoch - 6ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.1554 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9768 - val_loss: 0.1451 - val_categorical_accuracy: 0.9639 - 894ms/epoch - 6ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1471 - val_categorical_accuracy: 0.9652 - 821ms/epoch - 6ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1526 - val_categorical_accuracy: 0.9647 - 897ms/epoch - 6ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.1647 - val_categorical_accuracy: 0.9595 - 912ms/epoch - 6ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1688 - val_categorical_accuracy: 0.9583 - 833ms/epoch - 6ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9852 - val_loss: 0.1612 - val_categorical_accuracy: 0.9612 - 900ms/epoch - 6ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1577 - val_categorical_accuracy: 0.9630 - 883ms/epoch - 6ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1568 - val_categorical_accuracy: 0.9639 - 804ms/epoch - 6ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9792 - val_loss: 0.1527 - val_categorical_accuracy: 0.9598 - 902ms/epoch - 6ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.1558 - val_categorical_accuracy: 0.9621 - 1s/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1658 - val_categorical_accuracy: 0.9608 - 917ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1660 - val_categorical_accuracy: 0.9609 - 822ms/epoch - 6ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1757 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9808 - val_loss: 0.1493 - val_categorical_accuracy: 0.9649 - 909ms/epoch - 6ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1581 - val_categorical_accuracy: 0.9638 - 815ms/epoch - 6ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1864 - val_categorical_accuracy: 0.9555 - 864ms/epoch - 6ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9785 - val_loss: 0.1586 - val_categorical_accuracy: 0.9528 - 968ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9857 - val_loss: 0.1476 - val_categorical_accuracy: 0.9645 - 820ms/epoch - 6ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.1537 - val_categorical_accuracy: 0.9640 - 812ms/epoch - 6ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1566 - val_categorical_accuracy: 0.9637 - 942ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1493 - val_categorical_accuracy: 0.9649 - 802ms/epoch - 6ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.1669 - val_categorical_accuracy: 0.9608 - 824ms/epoch - 6ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.1532 - val_categorical_accuracy: 0.9638 - 914ms/epoch - 6ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1632 - val_categorical_accuracy: 0.9617 - 815ms/epoch - 6ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9845 - val_loss: 0.1626 - val_categorical_accuracy: 0.9604 - 833ms/epoch - 6ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1757 - val_categorical_accuracy: 0.9602 - 976ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1622 - val_categorical_accuracy: 0.9635 - 817ms/epoch - 6ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1826 - val_categorical_accuracy: 0.9571 - 822ms/epoch - 6ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.1674 - val_categorical_accuracy: 0.9623 - 946ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.1754 - val_categorical_accuracy: 0.9584 - 813ms/epoch - 6ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9762 - val_loss: 0.1584 - val_categorical_accuracy: 0.9588 - 812ms/epoch - 6ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9860 - val_loss: 0.1595 - val_categorical_accuracy: 0.9606 - 960ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9863 - val_loss: 0.1762 - val_categorical_accuracy: 0.9608 - 824ms/epoch - 6ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1556 - val_categorical_accuracy: 0.9633 - 799ms/epoch - 6ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9860 - val_loss: 0.1681 - val_categorical_accuracy: 0.9610 - 937ms/epoch - 7ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1796 - val_categorical_accuracy: 0.9578 - 805ms/epoch - 6ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1595 - val_categorical_accuracy: 0.9637 - 796ms/epoch - 6ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2123 - val_categorical_accuracy: 0.9512 - 924ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9765 - val_loss: 0.1464 - val_categorical_accuracy: 0.9645 - 812ms/epoch - 6ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1527 - val_categorical_accuracy: 0.9639 - 833ms/epoch - 6ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9860 - val_loss: 0.1589 - val_categorical_accuracy: 0.9638 - 932ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1715 - val_categorical_accuracy: 0.9602 - 811ms/epoch - 6ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.1582 - val_categorical_accuracy: 0.9633 - 817ms/epoch - 6ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1514 - val_categorical_accuracy: 0.9661 - 998ms/epoch - 7ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1784 - val_categorical_accuracy: 0.9594 - 808ms/epoch - 6ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1774 - val_categorical_accuracy: 0.9600 - 813ms/epoch - 6ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9781 - val_loss: 0.1588 - val_categorical_accuracy: 0.9594 - 931ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1557 - val_categorical_accuracy: 0.9643 - 820ms/epoch - 6ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9826 - val_loss: 0.1563 - val_categorical_accuracy: 0.9649 - 866ms/epoch - 6ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1584 - val_categorical_accuracy: 0.9645 - 929ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1681 - val_categorical_accuracy: 0.9626 - 820ms/epoch - 6ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.1674 - val_categorical_accuracy: 0.9605 - 838ms/epoch - 6ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1584 - val_categorical_accuracy: 0.9653 - 933ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1646 - val_categorical_accuracy: 0.9624 - 810ms/epoch - 6ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1587 - val_categorical_accuracy: 0.9648 - 821ms/epoch - 6ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.1642 - val_categorical_accuracy: 0.9638 - 926ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9730 - val_loss: 0.1494 - val_categorical_accuracy: 0.9634 - 820ms/epoch - 6ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1646 - val_categorical_accuracy: 0.9622 - 847ms/epoch - 6ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1594 - val_categorical_accuracy: 0.9611 - 967ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.1658 - val_categorical_accuracy: 0.9638 - 901ms/epoch - 6ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1621 - val_categorical_accuracy: 0.9632 - 822ms/epoch - 6ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1658 - val_categorical_accuracy: 0.9618 - 888ms/epoch - 6ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.1641 - val_categorical_accuracy: 0.9635 - 939ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1652 - val_categorical_accuracy: 0.9618 - 865ms/epoch - 6ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.1760 - val_categorical_accuracy: 0.9603 - 820ms/epoch - 6ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1797 - val_categorical_accuracy: 0.9597 - 890ms/epoch - 6ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1559 - val_categorical_accuracy: 0.9649 - 931ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1724 - val_categorical_accuracy: 0.9630 - 822ms/epoch - 6ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1577 - val_categorical_accuracy: 0.9642 - 835ms/epoch - 6ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1588 - val_categorical_accuracy: 0.9650 - 952ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1620 - val_categorical_accuracy: 0.9648 - 808ms/epoch - 6ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9867 - val_loss: 0.1708 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1584 - val_categorical_accuracy: 0.9649 - 938ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.1927 - val_categorical_accuracy: 0.9578 - 818ms/epoch - 6ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1593 - val_categorical_accuracy: 0.9642 - 810ms/epoch - 6ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1628 - val_categorical_accuracy: 0.9637 - 1s/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0914 - categorical_accuracy: 0.9736 - val_loss: 0.1537 - val_categorical_accuracy: 0.9602 - 876ms/epoch - 6ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.1670 - val_categorical_accuracy: 0.9631 - 810ms/epoch - 6ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1748 - val_categorical_accuracy: 0.9620 - 890ms/epoch - 6ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1577 - val_categorical_accuracy: 0.9649 - 911ms/epoch - 6ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1616 - val_categorical_accuracy: 0.9639 - 806ms/epoch - 6ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.1687 - val_categorical_accuracy: 0.9614 - 812ms/epoch - 6ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2567 - val_categorical_accuracy: 0.9412 - 945ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.1072 - categorical_accuracy: 0.9689 - val_loss: 0.1453 - val_categorical_accuracy: 0.9643 - 818ms/epoch - 6ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1737 - val_categorical_accuracy: 0.9582 - 826ms/epoch - 6ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1635 - val_categorical_accuracy: 0.9614 - 974ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1787 - val_categorical_accuracy: 0.9599 - 901ms/epoch - 6ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1894 - val_categorical_accuracy: 0.9569 - 804ms/epoch - 6ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1646 - val_categorical_accuracy: 0.9638 - 855ms/epoch - 6ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9866 - val_loss: 0.1792 - val_categorical_accuracy: 0.9625 - 950ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.1733 - val_categorical_accuracy: 0.9631 - 876ms/epoch - 6ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1663 - val_categorical_accuracy: 0.9622 - 794ms/epoch - 6ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1697 - val_categorical_accuracy: 0.9627 - 716ms/epoch - 5ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1621 - val_categorical_accuracy: 0.9644 - 732ms/epoch - 5ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.1745 - val_categorical_accuracy: 0.9588 - 719ms/epoch - 5ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1663 - val_categorical_accuracy: 0.9638 - 754ms/epoch - 5ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.1779 - val_categorical_accuracy: 0.9619 - 879ms/epoch - 6ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1601 - val_categorical_accuracy: 0.9657 - 835ms/epoch - 6ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.1767 - val_categorical_accuracy: 0.9611 - 838ms/epoch - 6ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1612 - val_categorical_accuracy: 0.9636 - 956ms/epoch - 7ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1706 - val_categorical_accuracy: 0.9650 - 810ms/epoch - 6ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9727 - val_loss: 0.1759 - val_categorical_accuracy: 0.9607 - 832ms/epoch - 6ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1599 - val_categorical_accuracy: 0.9638 - 955ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1639 - val_categorical_accuracy: 0.9638 - 802ms/epoch - 6ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.1623 - val_categorical_accuracy: 0.9639 - 803ms/epoch - 6ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1662 - val_categorical_accuracy: 0.9642 - 937ms/epoch - 7ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.1718 - val_categorical_accuracy: 0.9636 - 809ms/epoch - 6ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1583 - val_categorical_accuracy: 0.9660 - 837ms/epoch - 6ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9789 - val_loss: 0.1499 - val_categorical_accuracy: 0.9657 - 944ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.1654 - val_categorical_accuracy: 0.9619 - 813ms/epoch - 6ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.1685 - val_categorical_accuracy: 0.9633 - 841ms/epoch - 6ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1732 - val_categorical_accuracy: 0.9635 - 921ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1778 - val_categorical_accuracy: 0.9588 - 830ms/epoch - 6ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1807 - val_categorical_accuracy: 0.9559 - 811ms/epoch - 6ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1596 - val_categorical_accuracy: 0.9653 - 928ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1662 - val_categorical_accuracy: 0.9638 - 818ms/epoch - 6ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1681 - val_categorical_accuracy: 0.9631 - 855ms/epoch - 6ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1690 - val_categorical_accuracy: 0.9634 - 969ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.1910 - val_categorical_accuracy: 0.9568 - 896ms/epoch - 6ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1860 - val_categorical_accuracy: 0.9600 - 834ms/epoch - 6ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1805 - val_categorical_accuracy: 0.9619 - 862ms/epoch - 6ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1594 - val_categorical_accuracy: 0.9654 - 871ms/epoch - 6ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.1212 - categorical_accuracy: 0.9648 - val_loss: 0.1655 - val_categorical_accuracy: 0.9512 - 808ms/epoch - 6ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9848 - val_loss: 0.1570 - val_categorical_accuracy: 0.9633 - 875ms/epoch - 6ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.1931 - val_categorical_accuracy: 0.9553 - 935ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1619 - val_categorical_accuracy: 0.9642 - 785ms/epoch - 6ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.1651 - val_categorical_accuracy: 0.9630 - 808ms/epoch - 6ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1617 - val_categorical_accuracy: 0.9637 - 966ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.1631 - val_categorical_accuracy: 0.9637 - 824ms/epoch - 6ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9794 - val_loss: 0.1550 - val_categorical_accuracy: 0.9643 - 806ms/epoch - 6ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1602 - val_categorical_accuracy: 0.9641 - 978ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.1663 - val_categorical_accuracy: 0.9629 - 800ms/epoch - 6ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1627 - val_categorical_accuracy: 0.9656 - 807ms/epoch - 6ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1818 - val_categorical_accuracy: 0.9606 - 970ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1637 - val_categorical_accuracy: 0.9639 - 897ms/epoch - 6ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1727 - val_categorical_accuracy: 0.9627 - 809ms/epoch - 6ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1704 - val_categorical_accuracy: 0.9624 - 864ms/epoch - 6ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.1741 - val_categorical_accuracy: 0.9630 - 926ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1809 - val_categorical_accuracy: 0.9584 - 794ms/epoch - 6ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.1723 - val_categorical_accuracy: 0.9644 - 820ms/epoch - 6ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9866 - val_loss: 0.1968 - val_categorical_accuracy: 0.9562 - 941ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1792 - val_categorical_accuracy: 0.9620 - 822ms/epoch - 6ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.1660 - val_categorical_accuracy: 0.9658 - 814ms/epoch - 6ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1716 - val_categorical_accuracy: 0.9642 - 948ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.1841 - val_categorical_accuracy: 0.9597 - 816ms/epoch - 6ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1692 - val_categorical_accuracy: 0.9638 - 837ms/epoch - 6ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1743 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.1808 - val_categorical_accuracy: 0.9630 - 821ms/epoch - 6ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.6053 - categorical_accuracy: 0.8165 - val_loss: 0.4404 - val_categorical_accuracy: 0.8478 - 840ms/epoch - 6ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.2152 - categorical_accuracy: 0.9254 - val_loss: 0.1704 - val_categorical_accuracy: 0.9456 - 930ms/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9656 - val_loss: 0.1547 - val_categorical_accuracy: 0.9540 - 805ms/epoch - 6ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9746 - val_loss: 0.1588 - val_categorical_accuracy: 0.9538 - 800ms/epoch - 6ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9777 - val_loss: 0.1392 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9815 - val_loss: 0.1513 - val_categorical_accuracy: 0.9590 - 898ms/epoch - 6ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9822 - val_loss: 0.1553 - val_categorical_accuracy: 0.9614 - 807ms/epoch - 6ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9833 - val_loss: 0.1613 - val_categorical_accuracy: 0.9584 - 842ms/epoch - 6ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9840 - val_loss: 0.1483 - val_categorical_accuracy: 0.9625 - 922ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1717 - val_categorical_accuracy: 0.9557 - 833ms/epoch - 6ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9843 - val_loss: 0.1598 - val_categorical_accuracy: 0.9615 - 847ms/epoch - 6ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9849 - val_loss: 0.1670 - val_categorical_accuracy: 0.9569 - 987ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1616 - val_categorical_accuracy: 0.9606 - 839ms/epoch - 6ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1768 - val_categorical_accuracy: 0.9569 - 806ms/epoch - 6ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9856 - val_loss: 0.1560 - val_categorical_accuracy: 0.9611 - 862ms/epoch - 6ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.1631 - val_categorical_accuracy: 0.9610 - 897ms/epoch - 6ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1582 - val_categorical_accuracy: 0.9636 - 786ms/epoch - 6ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1624 - val_categorical_accuracy: 0.9610 - 863ms/epoch - 6ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.1705 - val_categorical_accuracy: 0.9599 - 953ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1686 - val_categorical_accuracy: 0.9599 - 801ms/epoch - 6ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.1629 - val_categorical_accuracy: 0.9629 - 778ms/epoch - 6ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0981 - categorical_accuracy: 0.9725 - val_loss: 0.1543 - val_categorical_accuracy: 0.9606 - 957ms/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9854 - val_loss: 0.1489 - val_categorical_accuracy: 0.9648 - 822ms/epoch - 6ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9866 - val_loss: 0.1540 - val_categorical_accuracy: 0.9619 - 818ms/epoch - 6ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1812 - val_categorical_accuracy: 0.9558 - 957ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9860 - val_loss: 0.1583 - val_categorical_accuracy: 0.9628 - 874ms/epoch - 6ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1655 - val_categorical_accuracy: 0.9609 - 823ms/epoch - 6ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9802 - val_loss: 0.1583 - val_categorical_accuracy: 0.9622 - 869ms/epoch - 6ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.1621 - val_categorical_accuracy: 0.9623 - 858ms/epoch - 6ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1694 - val_categorical_accuracy: 0.9615 - 812ms/epoch - 6ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1549 - val_categorical_accuracy: 0.9628 - 859ms/epoch - 6ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.1631 - val_categorical_accuracy: 0.9627 - 938ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.1612 - val_categorical_accuracy: 0.9637 - 797ms/epoch - 6ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1834 - val_categorical_accuracy: 0.9576 - 827ms/epoch - 6ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1694 - val_categorical_accuracy: 0.9642 - 915ms/epoch - 6ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1656 - val_categorical_accuracy: 0.9639 - 814ms/epoch - 6ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9858 - val_loss: 0.1659 - val_categorical_accuracy: 0.9607 - 823ms/epoch - 6ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1662 - val_categorical_accuracy: 0.9638 - 1s/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1720 - val_categorical_accuracy: 0.9598 - 901ms/epoch - 6ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1634 - val_categorical_accuracy: 0.9641 - 811ms/epoch - 6ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1683 - val_categorical_accuracy: 0.9635 - 836ms/epoch - 6ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1955 - val_categorical_accuracy: 0.9584 - 918ms/epoch - 7ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1675 - val_categorical_accuracy: 0.9629 - 812ms/epoch - 6ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1885 - val_categorical_accuracy: 0.9596 - 847ms/epoch - 6ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1716 - val_categorical_accuracy: 0.9601 - 982ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1667 - val_categorical_accuracy: 0.9637 - 817ms/epoch - 6ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1687 - val_categorical_accuracy: 0.9631 - 806ms/epoch - 6ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.1742 - val_categorical_accuracy: 0.9615 - 964ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1739 - val_categorical_accuracy: 0.9620 - 826ms/epoch - 6ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2403 - val_categorical_accuracy: 0.9471 - 824ms/epoch - 6ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9832 - val_loss: 0.1602 - val_categorical_accuracy: 0.9646 - 934ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1635 - val_categorical_accuracy: 0.9634 - 829ms/epoch - 6ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1620 - val_categorical_accuracy: 0.9632 - 843ms/epoch - 6ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1688 - val_categorical_accuracy: 0.9620 - 919ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1635 - val_categorical_accuracy: 0.9641 - 811ms/epoch - 6ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1753 - val_categorical_accuracy: 0.9601 - 864ms/epoch - 6ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1782 - val_categorical_accuracy: 0.9617 - 917ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1665 - val_categorical_accuracy: 0.9644 - 807ms/epoch - 6ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.1666 - val_categorical_accuracy: 0.9648 - 839ms/epoch - 6ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.1666 - val_categorical_accuracy: 0.9641 - 901ms/epoch - 6ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1622 - val_categorical_accuracy: 0.9650 - 825ms/epoch - 6ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1703 - val_categorical_accuracy: 0.9642 - 832ms/epoch - 6ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.1706 - val_categorical_accuracy: 0.9636 - 978ms/epoch - 7ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9802 - val_loss: 0.1604 - val_categorical_accuracy: 0.9642 - 793ms/epoch - 6ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.1643 - val_categorical_accuracy: 0.9648 - 802ms/epoch - 6ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1843 - val_categorical_accuracy: 0.9593 - 935ms/epoch - 7ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.1720 - val_categorical_accuracy: 0.9624 - 837ms/epoch - 6ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1660 - val_categorical_accuracy: 0.9636 - 810ms/epoch - 6ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.1733 - val_categorical_accuracy: 0.9638 - 943ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1694 - val_categorical_accuracy: 0.9628 - 836ms/epoch - 6ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.1698 - val_categorical_accuracy: 0.9636 - 830ms/epoch - 6ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1703 - val_categorical_accuracy: 0.9636 - 957ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1742 - val_categorical_accuracy: 0.9640 - 902ms/epoch - 6ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9802 - val_loss: 0.1760 - val_categorical_accuracy: 0.9596 - 819ms/epoch - 6ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1770 - val_categorical_accuracy: 0.9610 - 846ms/epoch - 6ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9879 - val_loss: 0.1714 - val_categorical_accuracy: 0.9623 - 950ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1704 - val_categorical_accuracy: 0.9635 - 914ms/epoch - 6ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1972 - val_categorical_accuracy: 0.9586 - 813ms/epoch - 6ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1712 - val_categorical_accuracy: 0.9646 - 846ms/epoch - 6ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.1806 - val_categorical_accuracy: 0.9624 - 968ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1671 - val_categorical_accuracy: 0.9644 - 880ms/epoch - 6ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1726 - val_categorical_accuracy: 0.9626 - 810ms/epoch - 6ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1675 - val_categorical_accuracy: 0.9645 - 846ms/epoch - 6ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1693 - val_categorical_accuracy: 0.9650 - 925ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9842 - val_loss: 0.1718 - val_categorical_accuracy: 0.9623 - 829ms/epoch - 6ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1731 - val_categorical_accuracy: 0.9622 - 819ms/epoch - 6ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1715 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1696 - val_categorical_accuracy: 0.9646 - 817ms/epoch - 6ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.1677 - val_categorical_accuracy: 0.9647 - 811ms/epoch - 6ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1777 - val_categorical_accuracy: 0.9642 - 942ms/epoch - 7ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9866 - val_loss: 0.9362 - val_categorical_accuracy: 0.8401 - 812ms/epoch - 6ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0688 - categorical_accuracy: 0.9794 - val_loss: 0.1692 - val_categorical_accuracy: 0.9617 - 826ms/epoch - 6ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.1714 - val_categorical_accuracy: 0.9623 - 943ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1681 - val_categorical_accuracy: 0.9640 - 811ms/epoch - 6ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2000 - val_categorical_accuracy: 0.9528 - 810ms/epoch - 6ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1920 - val_categorical_accuracy: 0.9603 - 970ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1718 - val_categorical_accuracy: 0.9643 - 816ms/epoch - 6ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1679 - val_categorical_accuracy: 0.9640 - 814ms/epoch - 6ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1735 - val_categorical_accuracy: 0.9640 - 919ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1930 - val_categorical_accuracy: 0.9585 - 816ms/epoch - 6ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.2207 - val_categorical_accuracy: 0.9523 - 848ms/epoch - 6ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0775 - categorical_accuracy: 0.9780 - val_loss: 0.1588 - val_categorical_accuracy: 0.9648 - 914ms/epoch - 6ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1682 - val_categorical_accuracy: 0.9641 - 830ms/epoch - 6ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1641 - val_categorical_accuracy: 0.9655 - 834ms/epoch - 6ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1669 - val_categorical_accuracy: 0.9643 - 931ms/epoch - 7ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1764 - val_categorical_accuracy: 0.9636 - 829ms/epoch - 6ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1666 - val_categorical_accuracy: 0.9641 - 860ms/epoch - 6ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1729 - val_categorical_accuracy: 0.9650 - 925ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.1720 - val_categorical_accuracy: 0.9650 - 810ms/epoch - 6ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.1940 - val_categorical_accuracy: 0.9600 - 852ms/epoch - 6ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1701 - val_categorical_accuracy: 0.9639 - 932ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.1726 - val_categorical_accuracy: 0.9629 - 810ms/epoch - 6ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.3088 - val_categorical_accuracy: 0.9420 - 812ms/epoch - 6ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9787 - val_loss: 0.1655 - val_categorical_accuracy: 0.9639 - 973ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.1673 - val_categorical_accuracy: 0.9639 - 790ms/epoch - 6ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1647 - val_categorical_accuracy: 0.9649 - 843ms/epoch - 6ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9880 - val_loss: 0.1715 - val_categorical_accuracy: 0.9612 - 944ms/epoch - 7ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.1885 - val_categorical_accuracy: 0.9606 - 825ms/epoch - 6ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.1752 - val_categorical_accuracy: 0.9642 - 837ms/epoch - 6ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1802 - val_categorical_accuracy: 0.9619 - 967ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2007 - val_categorical_accuracy: 0.9574 - 850ms/epoch - 6ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9846 - val_loss: 0.1783 - val_categorical_accuracy: 0.9603 - 828ms/epoch - 6ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.1616 - val_categorical_accuracy: 0.9660 - 980ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.1654 - val_categorical_accuracy: 0.9664 - 960ms/epoch - 7ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1826 - val_categorical_accuracy: 0.9627 - 812ms/epoch - 6ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.1797 - val_categorical_accuracy: 0.9640 - 823ms/epoch - 6ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1769 - val_categorical_accuracy: 0.9637 - 941ms/epoch - 7ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.1739 - val_categorical_accuracy: 0.9638 - 841ms/epoch - 6ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.1673 - val_categorical_accuracy: 0.9649 - 837ms/epoch - 6ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1866 - val_categorical_accuracy: 0.9614 - 953ms/epoch - 7ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.1764 - val_categorical_accuracy: 0.9637 - 818ms/epoch - 6ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9823 - val_loss: 0.1590 - val_categorical_accuracy: 0.9623 - 851ms/epoch - 6ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9885 - val_loss: 0.1664 - val_categorical_accuracy: 0.9633 - 946ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.1686 - val_categorical_accuracy: 0.9656 - 817ms/epoch - 6ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.1707 - val_categorical_accuracy: 0.9636 - 834ms/epoch - 6ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.1757 - val_categorical_accuracy: 0.9637 - 939ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1709 - val_categorical_accuracy: 0.9643 - 816ms/epoch - 6ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9776 - val_loss: 0.1829 - val_categorical_accuracy: 0.9586 - 828ms/epoch - 6ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.1689 - val_categorical_accuracy: 0.9646 - 989ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.1805 - val_categorical_accuracy: 0.9635 - 815ms/epoch - 6ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1735 - val_categorical_accuracy: 0.9640 - 820ms/epoch - 6ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1708 - val_categorical_accuracy: 0.9651 - 965ms/epoch - 7ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1809 - val_categorical_accuracy: 0.9633 - 897ms/epoch - 6ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1738 - val_categorical_accuracy: 0.9640 - 818ms/epoch - 6ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1776 - val_categorical_accuracy: 0.9640 - 863ms/epoch - 6ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1776 - val_categorical_accuracy: 0.9644 - 899ms/epoch - 6ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.1753 - val_categorical_accuracy: 0.9626 - 820ms/epoch - 6ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1891 - val_categorical_accuracy: 0.9623 - 871ms/epoch - 6ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.1787 - val_categorical_accuracy: 0.9635 - 910ms/epoch - 6ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1824 - val_categorical_accuracy: 0.9630 - 813ms/epoch - 6ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1886 - val_categorical_accuracy: 0.9625 - 880ms/epoch - 6ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2048 - val_categorical_accuracy: 0.9601 - 915ms/epoch - 6ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1834 - val_categorical_accuracy: 0.9630 - 820ms/epoch - 6ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1884 - val_categorical_accuracy: 0.9615 - 854ms/epoch - 6ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1816 - val_categorical_accuracy: 0.9641 - 913ms/epoch - 6ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1718 - val_categorical_accuracy: 0.9648 - 832ms/epoch - 6ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.1876 - val_categorical_accuracy: 0.9635 - 897ms/epoch - 6ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1825 - val_categorical_accuracy: 0.9615 - 914ms/epoch - 6ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1810 - val_categorical_accuracy: 0.9639 - 826ms/epoch - 6ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9818 - val_loss: 0.1663 - val_categorical_accuracy: 0.9588 - 824ms/epoch - 6ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.1615 - val_categorical_accuracy: 0.9648 - 960ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.1744 - val_categorical_accuracy: 0.9639 - 826ms/epoch - 6ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2314 - val_categorical_accuracy: 0.9499 - 838ms/epoch - 6ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.1723 - val_categorical_accuracy: 0.9640 - 946ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1751 - val_categorical_accuracy: 0.9655 - 824ms/epoch - 6ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1744 - val_categorical_accuracy: 0.9664 - 837ms/epoch - 6ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.1789 - val_categorical_accuracy: 0.9631 - 933ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.1811 - val_categorical_accuracy: 0.9626 - 830ms/epoch - 6ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.1768 - val_categorical_accuracy: 0.9646 - 850ms/epoch - 6ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1771 - val_categorical_accuracy: 0.9654 - 957ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1816 - val_categorical_accuracy: 0.9625 - 822ms/epoch - 6ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9885 - val_loss: 0.1803 - val_categorical_accuracy: 0.9645 - 816ms/epoch - 6ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.1789 - val_categorical_accuracy: 0.9647 - 915ms/epoch - 6ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1831 - val_categorical_accuracy: 0.9635 - 811ms/epoch - 6ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.1773 - val_categorical_accuracy: 0.9650 - 861ms/epoch - 6ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1771 - val_categorical_accuracy: 0.9644 - 965ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.1894 - val_categorical_accuracy: 0.9639 - 809ms/epoch - 6ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9819 - val_loss: 0.1921 - val_categorical_accuracy: 0.9534 - 815ms/epoch - 6ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.1696 - val_categorical_accuracy: 0.9647 - 965ms/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1701 - val_categorical_accuracy: 0.9667 - 804ms/epoch - 6ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.1743 - val_categorical_accuracy: 0.9658 - 806ms/epoch - 6ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.1780 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1752 - val_categorical_accuracy: 0.9656 - 826ms/epoch - 6ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.1829 - val_categorical_accuracy: 0.9636 - 842ms/epoch - 6ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1881 - val_categorical_accuracy: 0.9628 - 960ms/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.1865 - val_categorical_accuracy: 0.9629 - 946ms/epoch - 7ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1921 - val_categorical_accuracy: 0.9618 - 820ms/epoch - 6ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.1947 - val_categorical_accuracy: 0.9603 - 833ms/epoch - 6ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1783 - val_categorical_accuracy: 0.9634 - 974ms/epoch - 7ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.1845 - val_categorical_accuracy: 0.9642 - 832ms/epoch - 6ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9879 - val_loss: 0.1858 - val_categorical_accuracy: 0.9632 - 813ms/epoch - 6ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.1816 - val_categorical_accuracy: 0.9645 - 934ms/epoch - 7ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1911 - val_categorical_accuracy: 0.9620 - 824ms/epoch - 6ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9890 - val_loss: 0.1833 - val_categorical_accuracy: 0.9650 - 828ms/epoch - 6ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.1837 - val_categorical_accuracy: 0.9638 - 948ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.1786 - val_categorical_accuracy: 0.9650 - 821ms/epoch - 6ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.1766 - val_categorical_accuracy: 0.9657 - 843ms/epoch - 6ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1797 - val_categorical_accuracy: 0.9632 - 967ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1792 - val_categorical_accuracy: 0.9651 - 814ms/epoch - 6ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2237 - val_categorical_accuracy: 0.9547 - 826ms/epoch - 6ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.1839 - val_categorical_accuracy: 0.9632 - 958ms/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.1918 - val_categorical_accuracy: 0.9634 - 809ms/epoch - 6ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2073 - val_categorical_accuracy: 0.9586 - 816ms/epoch - 6ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.3920 - val_categorical_accuracy: 0.9218 - 973ms/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9850 - val_loss: 0.1760 - val_categorical_accuracy: 0.9652 - 823ms/epoch - 6ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.1928 - val_categorical_accuracy: 0.9605 - 817ms/epoch - 6ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.1901 - val_categorical_accuracy: 0.9617 - 924ms/epoch - 7ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1866 - val_categorical_accuracy: 0.9635 - 835ms/epoch - 6ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1820 - val_categorical_accuracy: 0.9633 - 855ms/epoch - 6ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1971 - val_categorical_accuracy: 0.9612 - 955ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1934 - val_categorical_accuracy: 0.9638 - 834ms/epoch - 6ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.1974 - val_categorical_accuracy: 0.9628 - 795ms/epoch - 6ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.1833 - val_categorical_accuracy: 0.9655 - 921ms/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1882 - val_categorical_accuracy: 0.9643 - 828ms/epoch - 6ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9727 - val_loss: 0.1643 - val_categorical_accuracy: 0.9632 - 865ms/epoch - 6ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.1711 - val_categorical_accuracy: 0.9629 - 962ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.1984 - val_categorical_accuracy: 0.9587 - 894ms/epoch - 6ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9894 - val_loss: 0.1765 - val_categorical_accuracy: 0.9651 - 835ms/epoch - 6ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2012 - val_categorical_accuracy: 0.9597 - 871ms/epoch - 6ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1820 - val_categorical_accuracy: 0.9634 - 814ms/epoch - 6ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1823 - val_categorical_accuracy: 0.9637 - 833ms/epoch - 6ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1804 - val_categorical_accuracy: 0.9637 - 963ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1920 - val_categorical_accuracy: 0.9641 - 811ms/epoch - 6ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1909 - val_categorical_accuracy: 0.9637 - 811ms/epoch - 6ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1845 - val_categorical_accuracy: 0.9645 - 950ms/epoch - 7ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1895 - val_categorical_accuracy: 0.9619 - 844ms/epoch - 6ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1916 - val_categorical_accuracy: 0.9640 - 835ms/epoch - 6ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1935 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.1944 - val_categorical_accuracy: 0.9631 - 843ms/epoch - 6ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2002 - val_categorical_accuracy: 0.9626 - 831ms/epoch - 6ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1993 - val_categorical_accuracy: 0.9609 - 949ms/epoch - 7ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.1857 - val_categorical_accuracy: 0.9639 - 816ms/epoch - 6ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1903 - val_categorical_accuracy: 0.9634 - 839ms/epoch - 6ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1995 - val_categorical_accuracy: 0.9595 - 931ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1957 - val_categorical_accuracy: 0.9625 - 819ms/epoch - 6ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1919 - val_categorical_accuracy: 0.9636 - 830ms/epoch - 6ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.1876 - val_categorical_accuracy: 0.9647 - 950ms/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9804 - val_loss: 0.1713 - val_categorical_accuracy: 0.9634 - 822ms/epoch - 6ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.1823 - val_categorical_accuracy: 0.9639 - 831ms/epoch - 6ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1973 - val_categorical_accuracy: 0.9610 - 947ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.1879 - val_categorical_accuracy: 0.9634 - 816ms/epoch - 6ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1905 - val_categorical_accuracy: 0.9636 - 823ms/epoch - 6ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1855 - val_categorical_accuracy: 0.9639 - 944ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9855 - val_loss: 0.1733 - val_categorical_accuracy: 0.9644 - 846ms/epoch - 6ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.1812 - val_categorical_accuracy: 0.9644 - 824ms/epoch - 6ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.1891 - val_categorical_accuracy: 0.9636 - 943ms/epoch - 7ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1875 - val_categorical_accuracy: 0.9629 - 815ms/epoch - 6ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.1911 - val_categorical_accuracy: 0.9626 - 847ms/epoch - 6ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9895 - val_loss: 0.1841 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.1899 - val_categorical_accuracy: 0.9621 - 820ms/epoch - 6ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.1957 - val_categorical_accuracy: 0.9623 - 801ms/epoch - 6ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2056 - val_categorical_accuracy: 0.9571 - 949ms/epoch - 7ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1948 - val_categorical_accuracy: 0.9625 - 808ms/epoch - 6ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2010 - val_categorical_accuracy: 0.9620 - 820ms/epoch - 6ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.1884 - val_categorical_accuracy: 0.9638 - 984ms/epoch - 7ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.1840 - val_categorical_accuracy: 0.9653 - 911ms/epoch - 6ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.2017 - val_categorical_accuracy: 0.9616 - 824ms/epoch - 6ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2044 - val_categorical_accuracy: 0.9623 - 886ms/epoch - 6ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1887 - val_categorical_accuracy: 0.9629 - 952ms/epoch - 7ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1855 - val_categorical_accuracy: 0.9634 - 891ms/epoch - 6ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.1852 - val_categorical_accuracy: 0.9629 - 807ms/epoch - 6ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.1961 - val_categorical_accuracy: 0.9623 - 860ms/epoch - 6ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1871 - val_categorical_accuracy: 0.9652 - 937ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.1880 - val_categorical_accuracy: 0.9649 - 814ms/epoch - 6ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.1945 - val_categorical_accuracy: 0.9630 - 823ms/epoch - 6ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.1909 - val_categorical_accuracy: 0.9654 - 1s/epoch - 8ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1944 - val_categorical_accuracy: 0.9631 - 811ms/epoch - 6ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2039 - val_categorical_accuracy: 0.9636 - 847ms/epoch - 6ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.1903 - val_categorical_accuracy: 0.9644 - 993ms/epoch - 7ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1887 - val_categorical_accuracy: 0.9646 - 873ms/epoch - 6ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.1906 - val_categorical_accuracy: 0.9642 - 814ms/epoch - 6ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1886 - val_categorical_accuracy: 0.9638 - 839ms/epoch - 6ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.1613 - categorical_accuracy: 0.9544 - val_loss: 0.1539 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9877 - val_loss: 0.1682 - val_categorical_accuracy: 0.9637 - 803ms/epoch - 6ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.1730 - val_categorical_accuracy: 0.9650 - 826ms/epoch - 6ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1707 - val_categorical_accuracy: 0.9654 - 991ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1780 - val_categorical_accuracy: 0.9644 - 825ms/epoch - 6ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.1795 - val_categorical_accuracy: 0.9660 - 799ms/epoch - 6ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1900 - val_categorical_accuracy: 0.9624 - 948ms/epoch - 7ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.1861 - val_categorical_accuracy: 0.9650 - 834ms/epoch - 6ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1782 - val_categorical_accuracy: 0.9647 - 831ms/epoch - 6ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1874 - val_categorical_accuracy: 0.9626 - 975ms/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.1970 - val_categorical_accuracy: 0.9616 - 894ms/epoch - 6ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.1997 - val_categorical_accuracy: 0.9610 - 812ms/epoch - 6ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.1890 - val_categorical_accuracy: 0.9627 - 854ms/epoch - 6ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1865 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9888 - val_loss: 0.2101 - val_categorical_accuracy: 0.9581 - 825ms/epoch - 6ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.1784 - val_categorical_accuracy: 0.9649 - 827ms/epoch - 6ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.1889 - val_categorical_accuracy: 0.9650 - 970ms/epoch - 7ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9776 - val_loss: 0.1599 - val_categorical_accuracy: 0.9624 - 836ms/epoch - 6ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.1728 - val_categorical_accuracy: 0.9652 - 837ms/epoch - 6ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1730 - val_categorical_accuracy: 0.9648 - 943ms/epoch - 7ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.1749 - val_categorical_accuracy: 0.9662 - 824ms/epoch - 6ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1812 - val_categorical_accuracy: 0.9653 - 852ms/epoch - 6ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.1806 - val_categorical_accuracy: 0.9640 - 937ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.1836 - val_categorical_accuracy: 0.9649 - 817ms/epoch - 6ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1969 - val_categorical_accuracy: 0.9588 - 838ms/epoch - 6ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1887 - val_categorical_accuracy: 0.9640 - 955ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.1877 - val_categorical_accuracy: 0.9643 - 830ms/epoch - 6ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.1790 - val_categorical_accuracy: 0.9653 - 844ms/epoch - 6ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2016 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.1919 - val_categorical_accuracy: 0.9642 - 822ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.1925 - val_categorical_accuracy: 0.9650 - 855ms/epoch - 6ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1911 - val_categorical_accuracy: 0.9644 - 961ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1908 - val_categorical_accuracy: 0.9633 - 815ms/epoch - 6ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1917 - val_categorical_accuracy: 0.9640 - 828ms/epoch - 6ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.1960 - val_categorical_accuracy: 0.9626 - 916ms/epoch - 6ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1971 - val_categorical_accuracy: 0.9635 - 834ms/epoch - 6ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9872 - val_loss: 0.1845 - val_categorical_accuracy: 0.9653 - 827ms/epoch - 6ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.1970 - val_categorical_accuracy: 0.9625 - 941ms/epoch - 7ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1858 - val_categorical_accuracy: 0.9650 - 826ms/epoch - 6ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.1865 - val_categorical_accuracy: 0.9647 - 894ms/epoch - 6ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.1894 - val_categorical_accuracy: 0.9642 - 960ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2031 - val_categorical_accuracy: 0.9623 - 924ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.1947 - val_categorical_accuracy: 0.9637 - 826ms/epoch - 6ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.1934 - val_categorical_accuracy: 0.9625 - 866ms/epoch - 6ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1942 - val_categorical_accuracy: 0.9624 - 961ms/epoch - 7ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2057 - val_categorical_accuracy: 0.9627 - 836ms/epoch - 6ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.1921 - val_categorical_accuracy: 0.9643 - 854ms/epoch - 6ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2213 - val_categorical_accuracy: 0.9556 - 947ms/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1959 - val_categorical_accuracy: 0.9626 - 814ms/epoch - 6ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1969 - val_categorical_accuracy: 0.9629 - 837ms/epoch - 6ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9901 - val_loss: 0.1976 - val_categorical_accuracy: 0.9653 - 956ms/epoch - 7ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.1955 - val_categorical_accuracy: 0.9639 - 840ms/epoch - 6ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9878 - val_loss: 0.1955 - val_categorical_accuracy: 0.9630 - 853ms/epoch - 6ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9807 - val_loss: 0.1752 - val_categorical_accuracy: 0.9631 - 1s/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.1757 - val_categorical_accuracy: 0.9650 - 914ms/epoch - 6ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.1857 - val_categorical_accuracy: 0.9645 - 804ms/epoch - 6ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1870 - val_categorical_accuracy: 0.9650 - 828ms/epoch - 6ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.2114 - val_categorical_accuracy: 0.9589 - 988ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1913 - val_categorical_accuracy: 0.9633 - 813ms/epoch - 6ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1834 - val_categorical_accuracy: 0.9646 - 803ms/epoch - 6ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1859 - val_categorical_accuracy: 0.9643 - 943ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.1837 - val_categorical_accuracy: 0.9654 - 829ms/epoch - 6ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1848 - val_categorical_accuracy: 0.9657 - 858ms/epoch - 6ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1903 - val_categorical_accuracy: 0.9647 - 956ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1875 - val_categorical_accuracy: 0.9655 - 907ms/epoch - 6ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.1886 - val_categorical_accuracy: 0.9653 - 831ms/epoch - 6ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2005 - val_categorical_accuracy: 0.9636 - 882ms/epoch - 6ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.1822 - val_categorical_accuracy: 0.9656 - 913ms/epoch - 6ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1917 - val_categorical_accuracy: 0.9625 - 817ms/epoch - 6ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1969 - val_categorical_accuracy: 0.9638 - 835ms/epoch - 6ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9829 - val_loss: 0.1889 - val_categorical_accuracy: 0.9629 - 938ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1807 - val_categorical_accuracy: 0.9655 - 829ms/epoch - 6ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.1855 - val_categorical_accuracy: 0.9655 - 841ms/epoch - 6ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.1993 - val_categorical_accuracy: 0.9630 - 927ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1904 - val_categorical_accuracy: 0.9648 - 819ms/epoch - 6ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1982 - val_categorical_accuracy: 0.9589 - 846ms/epoch - 6ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2024 - val_categorical_accuracy: 0.9631 - 929ms/epoch - 7ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2347 - val_categorical_accuracy: 0.9563 - 817ms/epoch - 6ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1935 - val_categorical_accuracy: 0.9647 - 849ms/epoch - 6ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.1980 - val_categorical_accuracy: 0.9647 - 922ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2007 - val_categorical_accuracy: 0.9644 - 818ms/epoch - 6ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1961 - val_categorical_accuracy: 0.9641 - 848ms/epoch - 6ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.1968 - val_categorical_accuracy: 0.9622 - 979ms/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1929 - val_categorical_accuracy: 0.9642 - 825ms/epoch - 6ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2118 - val_categorical_accuracy: 0.9589 - 827ms/epoch - 6ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1921 - val_categorical_accuracy: 0.9642 - 974ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.2256 - val_categorical_accuracy: 0.9552 - 797ms/epoch - 6ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1916 - val_categorical_accuracy: 0.9656 - 820ms/epoch - 6ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1967 - val_categorical_accuracy: 0.9654 - 962ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1907 - val_categorical_accuracy: 0.9656 - 821ms/epoch - 6ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1952 - val_categorical_accuracy: 0.9631 - 794ms/epoch - 6ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.1949 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1871 - val_categorical_accuracy: 0.9660 - 811ms/epoch - 6ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2138 - val_categorical_accuracy: 0.9609 - 856ms/epoch - 6ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2076 - val_categorical_accuracy: 0.9630 - 941ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.1955 - val_categorical_accuracy: 0.9644 - 897ms/epoch - 6ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1952 - val_categorical_accuracy: 0.9648 - 828ms/epoch - 6ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2018 - val_categorical_accuracy: 0.9622 - 879ms/epoch - 6ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.1960 - val_categorical_accuracy: 0.9627 - 860ms/epoch - 6ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2028 - val_categorical_accuracy: 0.9645 - 819ms/epoch - 6ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2316 - val_categorical_accuracy: 0.9589 - 879ms/epoch - 6ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1908 - val_categorical_accuracy: 0.9651 - 898ms/epoch - 6ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2191 - val_categorical_accuracy: 0.9598 - 796ms/epoch - 6ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9804 - val_loss: 0.1843 - val_categorical_accuracy: 0.9648 - 848ms/epoch - 6ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1890 - val_categorical_accuracy: 0.9640 - 961ms/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.1868 - val_categorical_accuracy: 0.9649 - 827ms/epoch - 6ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1985 - val_categorical_accuracy: 0.9635 - 798ms/epoch - 6ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.1894 - val_categorical_accuracy: 0.9654 - 964ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1978 - val_categorical_accuracy: 0.9642 - 832ms/epoch - 6ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.1960 - val_categorical_accuracy: 0.9645 - 833ms/epoch - 6ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1946 - val_categorical_accuracy: 0.9645 - 925ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9899 - val_loss: 0.1953 - val_categorical_accuracy: 0.9653 - 841ms/epoch - 6ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1961 - val_categorical_accuracy: 0.9644 - 829ms/epoch - 6ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2037 - val_categorical_accuracy: 0.9649 - 944ms/epoch - 7ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.1947 - val_categorical_accuracy: 0.9640 - 824ms/epoch - 6ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.1997 - val_categorical_accuracy: 0.9639 - 863ms/epoch - 6ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1983 - val_categorical_accuracy: 0.9647 - 983ms/epoch - 7ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.1933 - val_categorical_accuracy: 0.9653 - 817ms/epoch - 6ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2028 - val_categorical_accuracy: 0.9631 - 820ms/epoch - 6ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9895 - val_loss: 0.1936 - val_categorical_accuracy: 0.9658 - 932ms/epoch - 7ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9904 - val_loss: 0.2007 - val_categorical_accuracy: 0.9647 - 823ms/epoch - 6ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2080 - val_categorical_accuracy: 0.9614 - 834ms/epoch - 6ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.1942 - val_categorical_accuracy: 0.9652 - 986ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2017 - val_categorical_accuracy: 0.9616 - 840ms/epoch - 6ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2081 - val_categorical_accuracy: 0.9623 - 825ms/epoch - 6ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2017 - val_categorical_accuracy: 0.9644 - 962ms/epoch - 7ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2083 - val_categorical_accuracy: 0.9647 - 882ms/epoch - 6ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1985 - val_categorical_accuracy: 0.9644 - 819ms/epoch - 6ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2233 - val_categorical_accuracy: 0.9577 - 858ms/epoch - 6ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.1978 - val_categorical_accuracy: 0.9651 - 881ms/epoch - 6ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9898 - val_loss: 0.2098 - val_categorical_accuracy: 0.9640 - 827ms/epoch - 6ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2029 - val_categorical_accuracy: 0.9624 - 862ms/epoch - 6ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.2010 - val_categorical_accuracy: 0.9640 - 892ms/epoch - 6ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2047 - val_categorical_accuracy: 0.9628 - 825ms/epoch - 6ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9899 - val_loss: 0.1992 - val_categorical_accuracy: 0.9648 - 848ms/epoch - 6ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9788 - val_loss: 0.1785 - val_categorical_accuracy: 0.9639 - 907ms/epoch - 6ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9903 - val_loss: 0.1835 - val_categorical_accuracy: 0.9649 - 830ms/epoch - 6ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.1858 - val_categorical_accuracy: 0.9649 - 839ms/epoch - 6ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1925 - val_categorical_accuracy: 0.9655 - 950ms/epoch - 7ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1925 - val_categorical_accuracy: 0.9649 - 825ms/epoch - 6ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9819 - val_loss: 0.1822 - val_categorical_accuracy: 0.9616 - 847ms/epoch - 6ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9898 - val_loss: 0.1796 - val_categorical_accuracy: 0.9661 - 963ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.1908 - val_categorical_accuracy: 0.9644 - 871ms/epoch - 6ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1870 - val_categorical_accuracy: 0.9655 - 822ms/epoch - 6ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.1936 - val_categorical_accuracy: 0.9631 - 891ms/epoch - 6ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.1911 - val_categorical_accuracy: 0.9648 - 936ms/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.1936 - val_categorical_accuracy: 0.9651 - 809ms/epoch - 6ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2001 - val_categorical_accuracy: 0.9631 - 839ms/epoch - 6ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1904 - val_categorical_accuracy: 0.9655 - 957ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1981 - val_categorical_accuracy: 0.9651 - 817ms/epoch - 6ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1975 - val_categorical_accuracy: 0.9644 - 810ms/epoch - 6ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.1995 - val_categorical_accuracy: 0.9635 - 984ms/epoch - 7ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1946 - val_categorical_accuracy: 0.9668 - 861ms/epoch - 6ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1923 - val_categorical_accuracy: 0.9664 - 821ms/epoch - 6ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1895 - val_categorical_accuracy: 0.9664 - 897ms/epoch - 6ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.2027 - val_categorical_accuracy: 0.9633 - 879ms/epoch - 6ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1977 - val_categorical_accuracy: 0.9657 - 822ms/epoch - 6ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9900 - val_loss: 0.2011 - val_categorical_accuracy: 0.9652 - 878ms/epoch - 6ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2331 - val_categorical_accuracy: 0.9562 - 890ms/epoch - 6ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2128 - val_categorical_accuracy: 0.9625 - 822ms/epoch - 6ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2227 - val_categorical_accuracy: 0.9611 - 878ms/epoch - 6ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.1963 - val_categorical_accuracy: 0.9651 - 889ms/epoch - 6ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2043 - val_categorical_accuracy: 0.9642 - 827ms/epoch - 6ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.1961 - val_categorical_accuracy: 0.9659 - 906ms/epoch - 6ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2026 - val_categorical_accuracy: 0.9640 - 864ms/epoch - 6ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9812 - val_loss: 0.1759 - val_categorical_accuracy: 0.9571 - 834ms/epoch - 6ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9891 - val_loss: 0.1795 - val_categorical_accuracy: 0.9648 - 882ms/epoch - 6ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9906 - val_loss: 0.1790 - val_categorical_accuracy: 0.9662 - 927ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1938 - val_categorical_accuracy: 0.9649 - 797ms/epoch - 6ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1901 - val_categorical_accuracy: 0.9648 - 856ms/epoch - 6ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1924 - val_categorical_accuracy: 0.9658 - 919ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1870 - val_categorical_accuracy: 0.9645 - 808ms/epoch - 6ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.1927 - val_categorical_accuracy: 0.9650 - 822ms/epoch - 6ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.1992 - val_categorical_accuracy: 0.9625 - 948ms/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2008 - val_categorical_accuracy: 0.9640 - 819ms/epoch - 6ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9908 - val_loss: 0.2002 - val_categorical_accuracy: 0.9642 - 854ms/epoch - 6ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.2036 - val_categorical_accuracy: 0.9647 - 977ms/epoch - 7ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2029 - val_categorical_accuracy: 0.9639 - 876ms/epoch - 6ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2016 - val_categorical_accuracy: 0.9652 - 815ms/epoch - 6ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2032 - val_categorical_accuracy: 0.9652 - 880ms/epoch - 6ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9905 - val_loss: 0.1962 - val_categorical_accuracy: 0.9649 - 962ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9901 - val_loss: 0.1921 - val_categorical_accuracy: 0.9662 - 801ms/epoch - 6ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2067 - val_categorical_accuracy: 0.9644 - 812ms/epoch - 6ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2001 - val_categorical_accuracy: 0.9655 - 962ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.2132 - val_categorical_accuracy: 0.9624 - 807ms/epoch - 6ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.1995 - val_categorical_accuracy: 0.9639 - 831ms/epoch - 6ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2118 - val_categorical_accuracy: 0.9633 - 922ms/epoch - 7ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2290 - val_categorical_accuracy: 0.9543 - 829ms/epoch - 6ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2015 - val_categorical_accuracy: 0.9647 - 813ms/epoch - 6ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9851 - val_loss: 0.1760 - val_categorical_accuracy: 0.9647 - 958ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1928 - val_categorical_accuracy: 0.9647 - 819ms/epoch - 6ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.2008 - val_categorical_accuracy: 0.9620 - 874ms/epoch - 6ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.1935 - val_categorical_accuracy: 0.9651 - 970ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.1950 - val_categorical_accuracy: 0.9653 - 832ms/epoch - 6ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2011 - val_categorical_accuracy: 0.9623 - 824ms/epoch - 6ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2011 - val_categorical_accuracy: 0.9655 - 952ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2454 - val_categorical_accuracy: 0.9522 - 819ms/epoch - 6ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2203 - val_categorical_accuracy: 0.9594 - 813ms/epoch - 6ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9906 - val_loss: 0.1944 - val_categorical_accuracy: 0.9654 - 979ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2024 - val_categorical_accuracy: 0.9647 - 812ms/epoch - 6ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2007 - val_categorical_accuracy: 0.9648 - 821ms/epoch - 6ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2025 - val_categorical_accuracy: 0.9644 - 970ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.1978 - val_categorical_accuracy: 0.9656 - 828ms/epoch - 6ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9892 - val_loss: 0.4487 - val_categorical_accuracy: 0.9141 - 798ms/epoch - 6ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9823 - val_loss: 0.1880 - val_categorical_accuracy: 0.9635 - 964ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.1865 - val_categorical_accuracy: 0.9650 - 827ms/epoch - 6ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.1911 - val_categorical_accuracy: 0.9639 - 814ms/epoch - 6ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.1973 - val_categorical_accuracy: 0.9646 - 963ms/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.1968 - val_categorical_accuracy: 0.9642 - 878ms/epoch - 6ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2029 - val_categorical_accuracy: 0.9625 - 828ms/epoch - 6ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2050 - val_categorical_accuracy: 0.9614 - 862ms/epoch - 6ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.1906 - val_categorical_accuracy: 0.9659 - 870ms/epoch - 6ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1961 - val_categorical_accuracy: 0.9653 - 842ms/epoch - 6ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9810 - val_loss: 0.1785 - val_categorical_accuracy: 0.9613 - 875ms/epoch - 6ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9897 - val_loss: 0.1908 - val_categorical_accuracy: 0.9646 - 874ms/epoch - 6ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9903 - val_loss: 0.1851 - val_categorical_accuracy: 0.9663 - 792ms/epoch - 6ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.1908 - val_categorical_accuracy: 0.9649 - 873ms/epoch - 6ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.1957 - val_categorical_accuracy: 0.9618 - 902ms/epoch - 6ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1893 - val_categorical_accuracy: 0.9657 - 804ms/epoch - 6ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1953 - val_categorical_accuracy: 0.9653 - 841ms/epoch - 6ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.1973 - val_categorical_accuracy: 0.9654 - 1s/epoch - 7ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2151 - val_categorical_accuracy: 0.9612 - 879ms/epoch - 6ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2098 - val_categorical_accuracy: 0.9606 - 830ms/epoch - 6ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2916 - val_categorical_accuracy: 0.9460 - 911ms/epoch - 6ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0713 - categorical_accuracy: 0.9796 - val_loss: 0.1788 - val_categorical_accuracy: 0.9640 - 904ms/epoch - 6ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.1838 - val_categorical_accuracy: 0.9658 - 825ms/epoch - 6ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.1868 - val_categorical_accuracy: 0.9662 - 854ms/epoch - 6ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1955 - val_categorical_accuracy: 0.9647 - 1s/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9908 - val_loss: 0.1961 - val_categorical_accuracy: 0.9646 - 900ms/epoch - 6ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9909 - val_loss: 0.2020 - val_categorical_accuracy: 0.9627 - 817ms/epoch - 6ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9909 - val_loss: 0.2042 - val_categorical_accuracy: 0.9642 - 866ms/epoch - 6ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.1931 - val_categorical_accuracy: 0.9656 - 941ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.1966 - val_categorical_accuracy: 0.9654 - 812ms/epoch - 6ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1979 - val_categorical_accuracy: 0.9650 - 828ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1959 - val_categorical_accuracy: 0.9662 - 969ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2009 - val_categorical_accuracy: 0.9646 - 900ms/epoch - 6ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1976 - val_categorical_accuracy: 0.9624 - 817ms/epoch - 6ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2014 - val_categorical_accuracy: 0.9633 - 853ms/epoch - 6ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9888 - val_loss: 0.1982 - val_categorical_accuracy: 0.9652 - 947ms/epoch - 7ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.2038 - val_categorical_accuracy: 0.9635 - 879ms/epoch - 6ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2014 - val_categorical_accuracy: 0.9649 - 811ms/epoch - 6ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2097 - val_categorical_accuracy: 0.9614 - 882ms/epoch - 6ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.1985 - val_categorical_accuracy: 0.9657 - 872ms/epoch - 6ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1946 - val_categorical_accuracy: 0.9658 - 816ms/epoch - 6ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9907 - val_loss: 0.2002 - val_categorical_accuracy: 0.9653 - 868ms/epoch - 6ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2067 - val_categorical_accuracy: 0.9636 - 916ms/epoch - 6ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1938 - val_categorical_accuracy: 0.9650 - 801ms/epoch - 6ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2144 - val_categorical_accuracy: 0.9638 - 858ms/epoch - 6ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9865 - val_loss: 0.2046 - val_categorical_accuracy: 0.9599 - 923ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1966 - val_categorical_accuracy: 0.9658 - 823ms/epoch - 6ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.1988 - val_categorical_accuracy: 0.9634 - 847ms/epoch - 6ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.1947 - val_categorical_accuracy: 0.9661 - 939ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2005 - val_categorical_accuracy: 0.9633 - 840ms/epoch - 6ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9902 - val_loss: 0.1964 - val_categorical_accuracy: 0.9646 - 836ms/epoch - 6ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.1962 - val_categorical_accuracy: 0.9663 - 951ms/epoch - 7ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2035 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.1967 - val_categorical_accuracy: 0.9660 - 811ms/epoch - 6ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2096 - val_categorical_accuracy: 0.9615 - 852ms/epoch - 6ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2072 - val_categorical_accuracy: 0.9634 - 951ms/epoch - 7ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.1987 - val_categorical_accuracy: 0.9652 - 855ms/epoch - 6ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2039 - val_categorical_accuracy: 0.9651 - 832ms/epoch - 6ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2025 - val_categorical_accuracy: 0.9639 - 943ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2062 - val_categorical_accuracy: 0.9651 - 809ms/epoch - 6ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2460 - val_categorical_accuracy: 0.9525 - 843ms/epoch - 6ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2008 - val_categorical_accuracy: 0.9644 - 1s/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2081 - val_categorical_accuracy: 0.9627 - 870ms/epoch - 6ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2099 - val_categorical_accuracy: 0.9640 - 829ms/epoch - 6ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2242 - val_categorical_accuracy: 0.9585 - 853ms/epoch - 6ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2096 - val_categorical_accuracy: 0.9620 - 959ms/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.2104 - val_categorical_accuracy: 0.9607 - 792ms/epoch - 6ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.2171 - val_categorical_accuracy: 0.9583 - 828ms/epoch - 6ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2214 - val_categorical_accuracy: 0.9621 - 994ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2154 - val_categorical_accuracy: 0.9624 - 862ms/epoch - 6ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2096 - val_categorical_accuracy: 0.9650 - 804ms/epoch - 6ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2351 - val_categorical_accuracy: 0.9595 - 863ms/epoch - 6ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2109 - val_categorical_accuracy: 0.9633 - 886ms/epoch - 6ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2217 - val_categorical_accuracy: 0.9602 - 812ms/epoch - 6ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.1998 - val_categorical_accuracy: 0.9658 - 878ms/epoch - 6ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2347 - val_categorical_accuracy: 0.9593 - 928ms/epoch - 7ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9904 - val_loss: 0.2062 - val_categorical_accuracy: 0.9650 - 808ms/epoch - 6ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2067 - val_categorical_accuracy: 0.9658 - 818ms/epoch - 6ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2153 - val_categorical_accuracy: 0.9642 - 979ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2108 - val_categorical_accuracy: 0.9646 - 891ms/epoch - 6ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2113 - val_categorical_accuracy: 0.9635 - 824ms/epoch - 6ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9788 - val_loss: 0.1764 - val_categorical_accuracy: 0.9624 - 881ms/epoch - 6ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9900 - val_loss: 0.1871 - val_categorical_accuracy: 0.9627 - 901ms/epoch - 6ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9910 - val_loss: 0.1939 - val_categorical_accuracy: 0.9639 - 823ms/epoch - 6ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1928 - val_categorical_accuracy: 0.9658 - 870ms/epoch - 6ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.1941 - val_categorical_accuracy: 0.9654 - 955ms/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2059 - val_categorical_accuracy: 0.9605 - 817ms/epoch - 6ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2046 - val_categorical_accuracy: 0.9652 - 842ms/epoch - 6ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2035 - val_categorical_accuracy: 0.9646 - 987ms/epoch - 7ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2041 - val_categorical_accuracy: 0.9656 - 808ms/epoch - 6ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.1981 - val_categorical_accuracy: 0.9650 - 814ms/epoch - 6ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2110 - val_categorical_accuracy: 0.9619 - 945ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2030 - val_categorical_accuracy: 0.9662 - 836ms/epoch - 6ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2066 - val_categorical_accuracy: 0.9658 - 822ms/epoch - 6ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2123 - val_categorical_accuracy: 0.9642 - 925ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2154 - val_categorical_accuracy: 0.9621 - 804ms/epoch - 6ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9897 - val_loss: 0.2083 - val_categorical_accuracy: 0.9643 - 847ms/epoch - 6ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9840 - val_loss: 0.1825 - val_categorical_accuracy: 0.9656 - 948ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.1944 - val_categorical_accuracy: 0.9636 - 890ms/epoch - 6ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9910 - val_loss: 0.1919 - val_categorical_accuracy: 0.9662 - 814ms/epoch - 6ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1984 - val_categorical_accuracy: 0.9656 - 851ms/epoch - 6ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.1969 - val_categorical_accuracy: 0.9654 - 968ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2114 - val_categorical_accuracy: 0.9620 - 915ms/epoch - 6ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9900 - val_loss: 0.1991 - val_categorical_accuracy: 0.9656 - 841ms/epoch - 6ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2057 - val_categorical_accuracy: 0.9645 - 843ms/epoch - 6ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.2094 - val_categorical_accuracy: 0.9612 - 947ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9805 - val_loss: 0.1843 - val_categorical_accuracy: 0.9636 - 829ms/epoch - 6ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1867 - val_categorical_accuracy: 0.9657 - 822ms/epoch - 6ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1965 - val_categorical_accuracy: 0.9653 - 967ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.1975 - val_categorical_accuracy: 0.9660 - 810ms/epoch - 6ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.1967 - val_categorical_accuracy: 0.9645 - 1s/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1932 - val_categorical_accuracy: 0.9665 - 945ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2005 - val_categorical_accuracy: 0.9638 - 819ms/epoch - 6ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2009 - val_categorical_accuracy: 0.9652 - 843ms/epoch - 6ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1962 - val_categorical_accuracy: 0.9658 - 980ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.1989 - val_categorical_accuracy: 0.9666 - 901ms/epoch - 6ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2092 - val_categorical_accuracy: 0.9637 - 805ms/epoch - 6ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2081 - val_categorical_accuracy: 0.9624 - 874ms/epoch - 6ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.2083 - val_categorical_accuracy: 0.9632 - 948ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.2128 - val_categorical_accuracy: 0.9642 - 821ms/epoch - 6ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9840 - val_loss: 0.1927 - val_categorical_accuracy: 0.9501 - 806ms/epoch - 6ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.1809 - val_categorical_accuracy: 0.9650 - 990ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9911 - val_loss: 0.1827 - val_categorical_accuracy: 0.9670 - 898ms/epoch - 6ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.1969 - val_categorical_accuracy: 0.9636 - 824ms/epoch - 6ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1934 - val_categorical_accuracy: 0.9662 - 852ms/epoch - 6ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1942 - val_categorical_accuracy: 0.9660 - 975ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.1966 - val_categorical_accuracy: 0.9647 - 828ms/epoch - 6ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2104 - val_categorical_accuracy: 0.9626 - 819ms/epoch - 6ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.2015 - val_categorical_accuracy: 0.9640 - 999ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.2072 - val_categorical_accuracy: 0.9648 - 875ms/epoch - 6ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2025 - val_categorical_accuracy: 0.9656 - 825ms/epoch - 6ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.2100 - val_categorical_accuracy: 0.9619 - 917ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2096 - val_categorical_accuracy: 0.9608 - 917ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2094 - val_categorical_accuracy: 0.9632 - 824ms/epoch - 6ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2047 - val_categorical_accuracy: 0.9649 - 862ms/epoch - 6ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9874 - val_loss: 0.2034 - val_categorical_accuracy: 0.9616 - 949ms/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.1956 - val_categorical_accuracy: 0.9650 - 809ms/epoch - 6ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.1964 - val_categorical_accuracy: 0.9654 - 821ms/epoch - 6ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2140 - val_categorical_accuracy: 0.9624 - 965ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2060 - val_categorical_accuracy: 0.9647 - 806ms/epoch - 6ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9910 - val_loss: 0.1993 - val_categorical_accuracy: 0.9664 - 825ms/epoch - 6ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2091 - val_categorical_accuracy: 0.9642 - 951ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2053 - val_categorical_accuracy: 0.9645 - 838ms/epoch - 6ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2045 - val_categorical_accuracy: 0.9651 - 811ms/epoch - 6ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2525 - val_categorical_accuracy: 0.9536 - 954ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9905 - val_loss: 0.2090 - val_categorical_accuracy: 0.9649 - 813ms/epoch - 6ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2066 - val_categorical_accuracy: 0.9656 - 852ms/epoch - 6ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2126 - val_categorical_accuracy: 0.9630 - 965ms/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2421 - val_categorical_accuracy: 0.9580 - 911ms/epoch - 6ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.1143 - categorical_accuracy: 0.9693 - val_loss: 0.1809 - val_categorical_accuracy: 0.9646 - 837ms/epoch - 6ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.1856 - val_categorical_accuracy: 0.9663 - 854ms/epoch - 6ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.1889 - val_categorical_accuracy: 0.9658 - 972ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9911 - val_loss: 0.1950 - val_categorical_accuracy: 0.9660 - 908ms/epoch - 6ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.1974 - val_categorical_accuracy: 0.9651 - 817ms/epoch - 6ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9911 - val_loss: 0.1913 - val_categorical_accuracy: 0.9665 - 860ms/epoch - 6ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2015 - val_categorical_accuracy: 0.9646 - 955ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.1990 - val_categorical_accuracy: 0.9651 - 831ms/epoch - 6ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2172 - val_categorical_accuracy: 0.9624 - 811ms/epoch - 6ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2160 - val_categorical_accuracy: 0.9628 - 954ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9912 - val_loss: 0.2061 - val_categorical_accuracy: 0.9657 - 825ms/epoch - 6ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2039 - val_categorical_accuracy: 0.9665 - 841ms/epoch - 6ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2107 - val_categorical_accuracy: 0.9629 - 908ms/epoch - 6ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2092 - val_categorical_accuracy: 0.9638 - 824ms/epoch - 6ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9912 - val_loss: 0.2088 - val_categorical_accuracy: 0.9636 - 861ms/epoch - 6ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.2044 - val_categorical_accuracy: 0.9641 - 971ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1987 - val_categorical_accuracy: 0.9650 - 873ms/epoch - 6ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2068 - val_categorical_accuracy: 0.9648 - 817ms/epoch - 6ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2048 - val_categorical_accuracy: 0.9655 - 897ms/epoch - 6ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2087 - val_categorical_accuracy: 0.9652 - 917ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2037 - val_categorical_accuracy: 0.9635 - 813ms/epoch - 6ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2101 - val_categorical_accuracy: 0.9656 - 817ms/epoch - 6ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2902 - val_categorical_accuracy: 0.9462 - 972ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9887 - val_loss: 0.2035 - val_categorical_accuracy: 0.9659 - 823ms/epoch - 6ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1992 - val_categorical_accuracy: 0.9661 - 811ms/epoch - 6ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2003 - val_categorical_accuracy: 0.9636 - 989ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2017 - val_categorical_accuracy: 0.9652 - 881ms/epoch - 6ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9901 - val_loss: 0.2169 - val_categorical_accuracy: 0.9622 - 826ms/epoch - 6ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2115 - val_categorical_accuracy: 0.9650 - 876ms/epoch - 6ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9898 - val_loss: 0.2104 - val_categorical_accuracy: 0.9612 - 970ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2084 - val_categorical_accuracy: 0.9633 - 815ms/epoch - 6ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.2068 - val_categorical_accuracy: 0.9645 - 813ms/epoch - 6ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.1999 - val_categorical_accuracy: 0.9664 - 941ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9915 - val_loss: 0.1996 - val_categorical_accuracy: 0.9657 - 820ms/epoch - 6ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2038 - val_categorical_accuracy: 0.9668 - 850ms/epoch - 6ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9906 - val_loss: 0.2132 - val_categorical_accuracy: 0.9648 - 941ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2111 - val_categorical_accuracy: 0.9652 - 829ms/epoch - 6ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2064 - val_categorical_accuracy: 0.9643 - 849ms/epoch - 6ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2181 - val_categorical_accuracy: 0.9619 - 948ms/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2058 - val_categorical_accuracy: 0.9653 - 815ms/epoch - 6ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2062 - val_categorical_accuracy: 0.9660 - 835ms/epoch - 6ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2135 - val_categorical_accuracy: 0.9626 - 951ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9915 - val_loss: 0.2064 - val_categorical_accuracy: 0.9643 - 798ms/epoch - 6ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2075 - val_categorical_accuracy: 0.9660 - 832ms/epoch - 6ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2180 - val_categorical_accuracy: 0.9651 - 959ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.2039 - val_categorical_accuracy: 0.9659 - 827ms/epoch - 6ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2119 - val_categorical_accuracy: 0.9640 - 812ms/epoch - 6ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2117 - val_categorical_accuracy: 0.9655 - 983ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.2151 - val_categorical_accuracy: 0.9647 - 809ms/epoch - 6ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2128 - val_categorical_accuracy: 0.9647 - 820ms/epoch - 6ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2108 - val_categorical_accuracy: 0.9656 - 952ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2675 - val_categorical_accuracy: 0.9521 - 821ms/epoch - 6ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9892 - val_loss: 0.2092 - val_categorical_accuracy: 0.9659 - 807ms/epoch - 6ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2062 - val_categorical_accuracy: 0.9660 - 953ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2234 - val_categorical_accuracy: 0.9637 - 825ms/epoch - 6ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2110 - val_categorical_accuracy: 0.9650 - 803ms/epoch - 6ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2145 - val_categorical_accuracy: 0.9652 - 953ms/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2206 - val_categorical_accuracy: 0.9635 - 882ms/epoch - 6ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9910 - val_loss: 0.2115 - val_categorical_accuracy: 0.9642 - 820ms/epoch - 6ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2187 - val_categorical_accuracy: 0.9621 - 852ms/epoch - 6ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2151 - val_categorical_accuracy: 0.9665 - 873ms/epoch - 6ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2110 - val_categorical_accuracy: 0.9666 - 811ms/epoch - 6ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2131 - val_categorical_accuracy: 0.9644 - 853ms/epoch - 6ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2141 - val_categorical_accuracy: 0.9655 - 957ms/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2185 - val_categorical_accuracy: 0.9658 - 799ms/epoch - 6ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2128 - val_categorical_accuracy: 0.9656 - 839ms/epoch - 6ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2132 - val_categorical_accuracy: 0.9656 - 944ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9911 - val_loss: 0.2128 - val_categorical_accuracy: 0.9650 - 827ms/epoch - 6ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2193 - val_categorical_accuracy: 0.9634 - 796ms/epoch - 6ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2196 - val_categorical_accuracy: 0.9644 - 1s/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2152 - val_categorical_accuracy: 0.9657 - 858ms/epoch - 6ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9846 - val_loss: 0.2032 - val_categorical_accuracy: 0.9581 - 821ms/epoch - 6ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9900 - val_loss: 0.2076 - val_categorical_accuracy: 0.9621 - 889ms/epoch - 6ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.1972 - val_categorical_accuracy: 0.9656 - 874ms/epoch - 6ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9914 - val_loss: 0.2189 - val_categorical_accuracy: 0.9603 - 826ms/epoch - 6ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2067 - val_categorical_accuracy: 0.9657 - 887ms/epoch - 6ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2166 - val_categorical_accuracy: 0.9642 - 888ms/epoch - 6ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9914 - val_loss: 0.2151 - val_categorical_accuracy: 0.9629 - 813ms/epoch - 6ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2183 - val_categorical_accuracy: 0.9634 - 869ms/epoch - 6ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2177 - val_categorical_accuracy: 0.9658 - 897ms/epoch - 6ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2158 - val_categorical_accuracy: 0.9653 - 810ms/epoch - 6ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9913 - val_loss: 0.2333 - val_categorical_accuracy: 0.9625 - 817ms/epoch - 6ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2170 - val_categorical_accuracy: 0.9631 - 922ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2152 - val_categorical_accuracy: 0.9650 - 823ms/epoch - 6ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2270 - val_categorical_accuracy: 0.9613 - 821ms/epoch - 6ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2192 - val_categorical_accuracy: 0.9648 - 990ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2109 - val_categorical_accuracy: 0.9663 - 884ms/epoch - 6ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2144 - val_categorical_accuracy: 0.9646 - 799ms/epoch - 6ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2646 - val_categorical_accuracy: 0.9540 - 839ms/epoch - 6ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.2127 - val_categorical_accuracy: 0.9653 - 961ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9916 - val_loss: 0.2222 - val_categorical_accuracy: 0.9658 - 820ms/epoch - 6ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2323 - val_categorical_accuracy: 0.9621 - 798ms/epoch - 6ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.2167 - val_categorical_accuracy: 0.9654 - 961ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2158 - val_categorical_accuracy: 0.9655 - 815ms/epoch - 6ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2185 - val_categorical_accuracy: 0.9648 - 825ms/epoch - 6ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2207 - val_categorical_accuracy: 0.9643 - 969ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2181 - val_categorical_accuracy: 0.9643 - 927ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2487 - val_categorical_accuracy: 0.9572 - 816ms/epoch - 6ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9827 - val_loss: 0.2032 - val_categorical_accuracy: 0.9617 - 858ms/epoch - 6ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9916 - val_loss: 0.2020 - val_categorical_accuracy: 0.9652 - 964ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2255 - val_categorical_accuracy: 0.9608 - 881ms/epoch - 6ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2093 - val_categorical_accuracy: 0.9650 - 834ms/epoch - 6ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2121 - val_categorical_accuracy: 0.9638 - 864ms/epoch - 6ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2188 - val_categorical_accuracy: 0.9634 - 887ms/epoch - 6ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2169 - val_categorical_accuracy: 0.9640 - 813ms/epoch - 6ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2443 - val_categorical_accuracy: 0.9585 - 889ms/epoch - 6ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2242 - val_categorical_accuracy: 0.9639 - 907ms/epoch - 6ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9913 - val_loss: 0.2150 - val_categorical_accuracy: 0.9645 - 812ms/epoch - 6ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2101 - val_categorical_accuracy: 0.9660 - 805ms/epoch - 6ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2184 - val_categorical_accuracy: 0.9642 - 993ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2262 - val_categorical_accuracy: 0.9619 - 844ms/epoch - 6ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2250 - val_categorical_accuracy: 0.9642 - 824ms/epoch - 6ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2215 - val_categorical_accuracy: 0.9658 - 899ms/epoch - 6ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2287 - val_categorical_accuracy: 0.9604 - 991ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2153 - val_categorical_accuracy: 0.9634 - 875ms/epoch - 6ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2221 - val_categorical_accuracy: 0.9641 - 812ms/epoch - 6ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2246 - val_categorical_accuracy: 0.9639 - 828ms/epoch - 6ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2267 - val_categorical_accuracy: 0.9645 - 963ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2355 - val_categorical_accuracy: 0.9632 - 783ms/epoch - 6ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2210 - val_categorical_accuracy: 0.9648 - 824ms/epoch - 6ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2206 - val_categorical_accuracy: 0.9633 - 921ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2281 - val_categorical_accuracy: 0.9637 - 829ms/epoch - 6ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2227 - val_categorical_accuracy: 0.9638 - 802ms/epoch - 6ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.2229 - val_categorical_accuracy: 0.9642 - 1s/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2221 - val_categorical_accuracy: 0.9664 - 814ms/epoch - 6ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2288 - val_categorical_accuracy: 0.9620 - 816ms/epoch - 6ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.2464 - val_categorical_accuracy: 0.9598 - 957ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2307 - val_categorical_accuracy: 0.9599 - 896ms/epoch - 6ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2346 - val_categorical_accuracy: 0.9614 - 807ms/epoch - 6ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9915 - val_loss: 0.2252 - val_categorical_accuracy: 0.9638 - 868ms/epoch - 6ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2264 - val_categorical_accuracy: 0.9644 - 992ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9912 - val_loss: 0.2189 - val_categorical_accuracy: 0.9659 - 945ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2246 - val_categorical_accuracy: 0.9634 - 790ms/epoch - 6ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9784 - val_loss: 0.1805 - val_categorical_accuracy: 0.9634 - 806ms/epoch - 6ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9903 - val_loss: 0.1927 - val_categorical_accuracy: 0.9646 - 986ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.1966 - val_categorical_accuracy: 0.9662 - 910ms/epoch - 6ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2124 - val_categorical_accuracy: 0.9656 - 792ms/epoch - 6ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2031 - val_categorical_accuracy: 0.9657 - 838ms/epoch - 6ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2091 - val_categorical_accuracy: 0.9658 - 965ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2164 - val_categorical_accuracy: 0.9639 - 823ms/epoch - 6ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2075 - val_categorical_accuracy: 0.9671 - 814ms/epoch - 6ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9869 - val_loss: 0.2148 - val_categorical_accuracy: 0.9522 - 1s/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9899 - val_loss: 0.2158 - val_categorical_accuracy: 0.9620 - 887ms/epoch - 6ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.1994 - val_categorical_accuracy: 0.9667 - 817ms/epoch - 6ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2250 - val_categorical_accuracy: 0.9631 - 878ms/epoch - 6ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2044 - val_categorical_accuracy: 0.9666 - 859ms/epoch - 6ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2260 - val_categorical_accuracy: 0.9596 - 817ms/epoch - 6ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2126 - val_categorical_accuracy: 0.9648 - 857ms/epoch - 6ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2097 - val_categorical_accuracy: 0.9653 - 906ms/epoch - 6ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2214 - val_categorical_accuracy: 0.9632 - 797ms/epoch - 6ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2195 - val_categorical_accuracy: 0.9637 - 839ms/epoch - 6ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2198 - val_categorical_accuracy: 0.9636 - 984ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2201 - val_categorical_accuracy: 0.9630 - 917ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2163 - val_categorical_accuracy: 0.9640 - 796ms/epoch - 6ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2279 - val_categorical_accuracy: 0.9624 - 824ms/epoch - 6ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2165 - val_categorical_accuracy: 0.9652 - 1s/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2180 - val_categorical_accuracy: 0.9639 - 863ms/epoch - 6ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9902 - val_loss: 0.2358 - val_categorical_accuracy: 0.9591 - 807ms/epoch - 6ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2110 - val_categorical_accuracy: 0.9657 - 846ms/epoch - 6ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2123 - val_categorical_accuracy: 0.9668 - 900ms/epoch - 6ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2272 - val_categorical_accuracy: 0.9641 - 817ms/epoch - 6ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2184 - val_categorical_accuracy: 0.9659 - 839ms/epoch - 6ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2200 - val_categorical_accuracy: 0.9645 - 997ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2130 - val_categorical_accuracy: 0.9656 - 895ms/epoch - 6ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2197 - val_categorical_accuracy: 0.9647 - 815ms/epoch - 6ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2288 - val_categorical_accuracy: 0.9632 - 836ms/epoch - 6ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2201 - val_categorical_accuracy: 0.9642 - 996ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.2198 - val_categorical_accuracy: 0.9662 - 884ms/epoch - 6ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2248 - val_categorical_accuracy: 0.9653 - 814ms/epoch - 6ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9825 - val_loss: 0.1984 - val_categorical_accuracy: 0.9638 - 888ms/epoch - 6ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2013 - val_categorical_accuracy: 0.9658 - 908ms/epoch - 6ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2110 - val_categorical_accuracy: 0.9655 - 804ms/epoch - 6ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2165 - val_categorical_accuracy: 0.9648 - 810ms/epoch - 6ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2082 - val_categorical_accuracy: 0.9662 - 962ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9861 - val_loss: 0.1945 - val_categorical_accuracy: 0.9566 - 816ms/epoch - 6ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9904 - val_loss: 0.2003 - val_categorical_accuracy: 0.9633 - 827ms/epoch - 6ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9917 - val_loss: 0.2001 - val_categorical_accuracy: 0.9645 - 958ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.2025 - val_categorical_accuracy: 0.9648 - 935ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9917 - val_loss: 0.2057 - val_categorical_accuracy: 0.9654 - 817ms/epoch - 6ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2055 - val_categorical_accuracy: 0.9665 - 827ms/epoch - 6ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2138 - val_categorical_accuracy: 0.9634 - 981ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2083 - val_categorical_accuracy: 0.9655 - 964ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2173 - val_categorical_accuracy: 0.9645 - 836ms/epoch - 6ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2121 - val_categorical_accuracy: 0.9660 - 838ms/epoch - 6ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.2124 - val_categorical_accuracy: 0.9657 - 987ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2228 - val_categorical_accuracy: 0.9628 - 811ms/epoch - 6ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2199 - val_categorical_accuracy: 0.9642 - 804ms/epoch - 6ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2174 - val_categorical_accuracy: 0.9661 - 944ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2149 - val_categorical_accuracy: 0.9640 - 816ms/epoch - 6ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2172 - val_categorical_accuracy: 0.9653 - 840ms/epoch - 6ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2751 - val_categorical_accuracy: 0.9556 - 928ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9914 - val_loss: 0.2190 - val_categorical_accuracy: 0.9645 - 836ms/epoch - 6ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2435 - val_categorical_accuracy: 0.9607 - 840ms/epoch - 6ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2265 - val_categorical_accuracy: 0.9638 - 979ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2185 - val_categorical_accuracy: 0.9638 - 819ms/epoch - 6ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.3395 - val_categorical_accuracy: 0.9428 - 826ms/epoch - 6ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9828 - val_loss: 0.1911 - val_categorical_accuracy: 0.9660 - 968ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2028 - val_categorical_accuracy: 0.9644 - 814ms/epoch - 6ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2023 - val_categorical_accuracy: 0.9650 - 811ms/epoch - 6ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2139 - val_categorical_accuracy: 0.9626 - 948ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.2188 - val_categorical_accuracy: 0.9634 - 882ms/epoch - 6ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2150 - val_categorical_accuracy: 0.9655 - 818ms/epoch - 6ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9901 - val_loss: 0.2132 - val_categorical_accuracy: 0.9637 - 892ms/epoch - 6ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2119 - val_categorical_accuracy: 0.9634 - 954ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2214 - val_categorical_accuracy: 0.9627 - 891ms/epoch - 6ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9916 - val_loss: 0.2140 - val_categorical_accuracy: 0.9644 - 797ms/epoch - 6ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2164 - val_categorical_accuracy: 0.9660 - 843ms/epoch - 6ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2155 - val_categorical_accuracy: 0.9660 - 959ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2292 - val_categorical_accuracy: 0.9630 - 880ms/epoch - 6ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9884 - val_loss: 0.2107 - val_categorical_accuracy: 0.9651 - 830ms/epoch - 6ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2086 - val_categorical_accuracy: 0.9668 - 877ms/epoch - 6ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2153 - val_categorical_accuracy: 0.9649 - 905ms/epoch - 6ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2122 - val_categorical_accuracy: 0.9649 - 817ms/epoch - 6ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2151 - val_categorical_accuracy: 0.9659 - 846ms/epoch - 6ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2186 - val_categorical_accuracy: 0.9649 - 964ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2210 - val_categorical_accuracy: 0.9646 - 817ms/epoch - 6ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2242 - val_categorical_accuracy: 0.9628 - 830ms/epoch - 6ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2170 - val_categorical_accuracy: 0.9658 - 963ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2168 - val_categorical_accuracy: 0.9657 - 826ms/epoch - 6ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2205 - val_categorical_accuracy: 0.9661 - 815ms/epoch - 6ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.2483 - val_categorical_accuracy: 0.9581 - 990ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9916 - val_loss: 0.2122 - val_categorical_accuracy: 0.9655 - 871ms/epoch - 6ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2182 - val_categorical_accuracy: 0.9660 - 803ms/epoch - 6ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9919 - val_loss: 0.2244 - val_categorical_accuracy: 0.9652 - 867ms/epoch - 6ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2167 - val_categorical_accuracy: 0.9665 - 905ms/epoch - 6ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2415 - val_categorical_accuracy: 0.9618 - 826ms/epoch - 6ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2184 - val_categorical_accuracy: 0.9645 - 852ms/epoch - 6ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2355 - val_categorical_accuracy: 0.9609 - 949ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9849 - val_loss: 0.2134 - val_categorical_accuracy: 0.9589 - 803ms/epoch - 6ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9903 - val_loss: 0.2127 - val_categorical_accuracy: 0.9637 - 831ms/epoch - 6ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2276 - val_categorical_accuracy: 0.9615 - 962ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9912 - val_loss: 0.2090 - val_categorical_accuracy: 0.9654 - 926ms/epoch - 7ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.2141 - val_categorical_accuracy: 0.9663 - 826ms/epoch - 6ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2181 - val_categorical_accuracy: 0.9648 - 869ms/epoch - 6ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2226 - val_categorical_accuracy: 0.9624 - 978ms/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2191 - val_categorical_accuracy: 0.9653 - 938ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2147 - val_categorical_accuracy: 0.9653 - 802ms/epoch - 6ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9914 - val_loss: 0.2365 - val_categorical_accuracy: 0.9616 - 807ms/epoch - 6ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2193 - val_categorical_accuracy: 0.9657 - 1s/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2157 - val_categorical_accuracy: 0.9656 - 903ms/epoch - 6ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2154 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9923 - val_loss: 0.2204 - val_categorical_accuracy: 0.9666 - 904ms/epoch - 6ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.2172 - val_categorical_accuracy: 0.9649 - 976ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.2203 - val_categorical_accuracy: 0.9661 - 952ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2307 - val_categorical_accuracy: 0.9651 - 933ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2169 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2184 - val_categorical_accuracy: 0.9652 - 910ms/epoch - 6ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2227 - val_categorical_accuracy: 0.9628 - 915ms/epoch - 6ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2204 - val_categorical_accuracy: 0.9657 - 964ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2155 - val_categorical_accuracy: 0.9661 - 950ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9919 - val_loss: 0.2311 - val_categorical_accuracy: 0.9631 - 934ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.2258 - val_categorical_accuracy: 0.9648 - 948ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9897 - val_loss: 0.2222 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2239 - val_categorical_accuracy: 0.9645 - 950ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2290 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2161 - val_categorical_accuracy: 0.9659 - 950ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2155 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9913 - val_loss: 0.2260 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2244 - val_categorical_accuracy: 0.9663 - 950ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.2391 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2168 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9915 - val_loss: 0.2249 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9914 - val_loss: 0.2196 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2301 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.2257 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.2254 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2244 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2363 - val_categorical_accuracy: 0.9626 - 919ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2341 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2252 - val_categorical_accuracy: 0.9656 - 910ms/epoch - 6ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9918 - val_loss: 0.2269 - val_categorical_accuracy: 0.9649 - 910ms/epoch - 6ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2369 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2260 - val_categorical_accuracy: 0.9650 - 914ms/epoch - 6ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2308 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9910 - val_loss: 0.2251 - val_categorical_accuracy: 0.9655 - 924ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9899 - val_loss: 0.2382 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.2228 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2309 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2221 - val_categorical_accuracy: 0.9662 - 945ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2344 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.2362 - val_categorical_accuracy: 0.9640 - 934ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2239 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2395 - val_categorical_accuracy: 0.9629 - 944ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2273 - val_categorical_accuracy: 0.9662 - 926ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2272 - val_categorical_accuracy: 0.9626 - 934ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2345 - val_categorical_accuracy: 0.9629 - 946ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2281 - val_categorical_accuracy: 0.9641 - 925ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2256 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2240 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2236 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2738 - val_categorical_accuracy: 0.9554 - 920ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2213 - val_categorical_accuracy: 0.9650 - 929ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9918 - val_loss: 0.2427 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9916 - val_loss: 0.2243 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9919 - val_loss: 0.2436 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2376 - val_categorical_accuracy: 0.9618 - 934ms/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2530 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.2459 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2320 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2325 - val_categorical_accuracy: 0.9637 - 924ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2306 - val_categorical_accuracy: 0.9661 - 912ms/epoch - 6ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2280 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9922 - val_loss: 0.2265 - val_categorical_accuracy: 0.9658 - 924ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9921 - val_loss: 0.2325 - val_categorical_accuracy: 0.9651 - 1s/epoch - 8ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.2289 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2206 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2305 - val_categorical_accuracy: 0.9663 - 924ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2358 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.1355 - categorical_accuracy: 0.9651 - val_loss: 0.1834 - val_categorical_accuracy: 0.9616 - 935ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9905 - val_loss: 0.2030 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.2102 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2093 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2065 - val_categorical_accuracy: 0.9656 - 954ms/epoch - 7ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9916 - val_loss: 0.2292 - val_categorical_accuracy: 0.9614 - 950ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2107 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9922 - val_loss: 0.2373 - val_categorical_accuracy: 0.9598 - 940ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9918 - val_loss: 0.2208 - val_categorical_accuracy: 0.9654 - 924ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9740 - val_loss: 0.1852 - val_categorical_accuracy: 0.9600 - 926ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9904 - val_loss: 0.1941 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.1933 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9921 - val_loss: 0.2005 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0196 - categorical_accuracy: 0.9924 - val_loss: 0.1999 - val_categorical_accuracy: 0.9674 - 924ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9924 - val_loss: 0.2127 - val_categorical_accuracy: 0.9647 - 950ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9918 - val_loss: 0.2170 - val_categorical_accuracy: 0.9618 - 934ms/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9917 - val_loss: 0.2133 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2082 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9922 - val_loss: 0.2143 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2186 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.2166 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2259 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9897 - val_loss: 0.2169 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2168 - val_categorical_accuracy: 0.9658 - 934ms/epoch - 7ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2181 - val_categorical_accuracy: 0.9654 - 934ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9921 - val_loss: 0.2247 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9918 - val_loss: 0.2181 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9922 - val_loss: 0.2162 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2219 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2179 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2224 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2270 - val_categorical_accuracy: 0.9624 - 950ms/epoch - 7ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2197 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2203 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2234 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2252 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2269 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2228 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.2242 - val_categorical_accuracy: 0.9647 - 910ms/epoch - 6ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9921 - val_loss: 0.2204 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9905 - val_loss: 0.2283 - val_categorical_accuracy: 0.9650 - 910ms/epoch - 6ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2191 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9915 - val_loss: 0.2238 - val_categorical_accuracy: 0.9647 - 924ms/epoch - 7ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9922 - val_loss: 0.2242 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2201 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0195 - categorical_accuracy: 0.9925 - val_loss: 0.2292 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9922 - val_loss: 0.2456 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2257 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2505 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9917 - val_loss: 0.2281 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.2316 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2359 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9922 - val_loss: 0.2776 - val_categorical_accuracy: 0.9539 - 940ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9831 - val_loss: 0.2096 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9921 - val_loss: 0.2217 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9925 - val_loss: 0.2183 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2248 - val_categorical_accuracy: 0.9626 - 919ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2361 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9920 - val_loss: 0.2299 - val_categorical_accuracy: 0.9650 - 934ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9922 - val_loss: 0.2320 - val_categorical_accuracy: 0.9645 - 910ms/epoch - 6ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2166 - val_categorical_accuracy: 0.9660 - 924ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9922 - val_loss: 0.2200 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.2221 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9922 - val_loss: 0.2338 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9920 - val_loss: 0.2221 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2217 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2372 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2204 - val_categorical_accuracy: 0.9643 - 924ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2213 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0192 - categorical_accuracy: 0.9923 - val_loss: 0.2317 - val_categorical_accuracy: 0.9656 - 944ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9922 - val_loss: 0.2374 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.2201 - val_categorical_accuracy: 0.9656 - 934ms/epoch - 7ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9922 - val_loss: 0.2418 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2203 - val_categorical_accuracy: 0.9645 - 914ms/epoch - 6ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9905 - val_loss: 0.3493 - val_categorical_accuracy: 0.9362 - 930ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9901 - val_loss: 0.2133 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2150 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9923 - val_loss: 0.2255 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2438 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2273 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9920 - val_loss: 0.2247 - val_categorical_accuracy: 0.9660 - 915ms/epoch - 6ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2306 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9922 - val_loss: 0.2202 - val_categorical_accuracy: 0.9661 - 914ms/epoch - 6ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2178 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0194 - categorical_accuracy: 0.9923 - val_loss: 0.2327 - val_categorical_accuracy: 0.9650 - 924ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.2185 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.2239 - val_categorical_accuracy: 0.9657 - 924ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2171 - val_categorical_accuracy: 0.9646 - 910ms/epoch - 6ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.2353 - val_categorical_accuracy: 0.9634 - 929ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2316 - val_categorical_accuracy: 0.9638 - 910ms/epoch - 6ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9920 - val_loss: 0.2240 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2283 - val_categorical_accuracy: 0.9659 - 910ms/epoch - 6ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9920 - val_loss: 0.2256 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2243 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9918 - val_loss: 0.2283 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2317 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0192 - categorical_accuracy: 0.9923 - val_loss: 0.2351 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0194 - categorical_accuracy: 0.9923 - val_loss: 0.2251 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
processing fold # 6 
Epoch 1/1500
141/141 - 2s - loss: 1.9246 - categorical_accuracy: 0.2791 - val_loss: 1.6478 - val_categorical_accuracy: 0.3838 - 2s/epoch - 13ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5725 - categorical_accuracy: 0.4091 - val_loss: 1.4552 - val_categorical_accuracy: 0.4301 - 930ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3465 - categorical_accuracy: 0.4935 - val_loss: 1.1691 - val_categorical_accuracy: 0.5513 - 920ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1782 - categorical_accuracy: 0.5525 - val_loss: 0.9792 - val_categorical_accuracy: 0.6266 - 920ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.1866 - categorical_accuracy: 0.5588 - val_loss: 1.4485 - val_categorical_accuracy: 0.4865 - 910ms/epoch - 6ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.1768 - categorical_accuracy: 0.5703 - val_loss: 0.8808 - val_categorical_accuracy: 0.6658 - 915ms/epoch - 6ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.9918 - categorical_accuracy: 0.6328 - val_loss: 0.8012 - val_categorical_accuracy: 0.6909 - 927ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8717 - categorical_accuracy: 0.6731 - val_loss: 0.8962 - val_categorical_accuracy: 0.6545 - 929ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7647 - categorical_accuracy: 0.7071 - val_loss: 0.7025 - val_categorical_accuracy: 0.7320 - 903ms/epoch - 6ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.8723 - categorical_accuracy: 0.6844 - val_loss: 0.7568 - val_categorical_accuracy: 0.7315 - 916ms/epoch - 6ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6738 - categorical_accuracy: 0.7453 - val_loss: 0.5954 - val_categorical_accuracy: 0.7735 - 920ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6765 - categorical_accuracy: 0.7501 - val_loss: 0.5803 - val_categorical_accuracy: 0.7814 - 911ms/epoch - 6ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5872 - categorical_accuracy: 0.7789 - val_loss: 0.5857 - val_categorical_accuracy: 0.7727 - 920ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5639 - categorical_accuracy: 0.7887 - val_loss: 0.5702 - val_categorical_accuracy: 0.7738 - 925ms/epoch - 7ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5508 - categorical_accuracy: 0.7968 - val_loss: 0.4561 - val_categorical_accuracy: 0.8328 - 910ms/epoch - 6ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5047 - categorical_accuracy: 0.8117 - val_loss: 0.4539 - val_categorical_accuracy: 0.8353 - 904ms/epoch - 6ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5370 - categorical_accuracy: 0.8086 - val_loss: 0.5150 - val_categorical_accuracy: 0.8035 - 930ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4578 - categorical_accuracy: 0.8290 - val_loss: 0.4335 - val_categorical_accuracy: 0.8390 - 910ms/epoch - 6ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4476 - categorical_accuracy: 0.8358 - val_loss: 0.4212 - val_categorical_accuracy: 0.8389 - 920ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.5502 - categorical_accuracy: 0.8119 - val_loss: 0.5334 - val_categorical_accuracy: 0.8019 - 910ms/epoch - 6ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4122 - categorical_accuracy: 0.8499 - val_loss: 0.4267 - val_categorical_accuracy: 0.8432 - 930ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.3782 - categorical_accuracy: 0.8612 - val_loss: 0.3553 - val_categorical_accuracy: 0.8741 - 920ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4097 - categorical_accuracy: 0.8564 - val_loss: 0.4025 - val_categorical_accuracy: 0.8497 - 924ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3476 - categorical_accuracy: 0.8723 - val_loss: 0.3346 - val_categorical_accuracy: 0.8799 - 930ms/epoch - 7ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3921 - categorical_accuracy: 0.8632 - val_loss: 0.3226 - val_categorical_accuracy: 0.8834 - 920ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3221 - categorical_accuracy: 0.8839 - val_loss: 0.3299 - val_categorical_accuracy: 0.8779 - 920ms/epoch - 7ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3734 - categorical_accuracy: 0.8739 - val_loss: 0.2854 - val_categorical_accuracy: 0.8978 - 934ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3140 - categorical_accuracy: 0.8888 - val_loss: 0.2948 - val_categorical_accuracy: 0.8922 - 910ms/epoch - 6ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.2866 - categorical_accuracy: 0.8974 - val_loss: 0.2879 - val_categorical_accuracy: 0.8946 - 924ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.2900 - categorical_accuracy: 0.8968 - val_loss: 0.3413 - val_categorical_accuracy: 0.8702 - 920ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.2895 - categorical_accuracy: 0.8965 - val_loss: 0.2799 - val_categorical_accuracy: 0.9005 - 1s/epoch - 8ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.2994 - categorical_accuracy: 0.8957 - val_loss: 0.2788 - val_categorical_accuracy: 0.8993 - 930ms/epoch - 7ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.2514 - categorical_accuracy: 0.9102 - val_loss: 0.3098 - val_categorical_accuracy: 0.8868 - 920ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2638 - categorical_accuracy: 0.9089 - val_loss: 0.2535 - val_categorical_accuracy: 0.9103 - 930ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2436 - categorical_accuracy: 0.9132 - val_loss: 0.3343 - val_categorical_accuracy: 0.8782 - 930ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3309 - categorical_accuracy: 0.8921 - val_loss: 0.2315 - val_categorical_accuracy: 0.9187 - 930ms/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2248 - categorical_accuracy: 0.9209 - val_loss: 0.2312 - val_categorical_accuracy: 0.9175 - 944ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3238 - categorical_accuracy: 0.8960 - val_loss: 0.2825 - val_categorical_accuracy: 0.8960 - 916ms/epoch - 6ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2239 - categorical_accuracy: 0.9211 - val_loss: 0.2283 - val_categorical_accuracy: 0.9190 - 910ms/epoch - 6ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2326 - categorical_accuracy: 0.9199 - val_loss: 0.2063 - val_categorical_accuracy: 0.9258 - 910ms/epoch - 6ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2008 - categorical_accuracy: 0.9291 - val_loss: 0.2214 - val_categorical_accuracy: 0.9214 - 930ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2257 - categorical_accuracy: 0.9235 - val_loss: 0.2138 - val_categorical_accuracy: 0.9240 - 924ms/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2393 - categorical_accuracy: 0.9207 - val_loss: 0.1984 - val_categorical_accuracy: 0.9308 - 910ms/epoch - 6ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.1977 - categorical_accuracy: 0.9315 - val_loss: 0.2051 - val_categorical_accuracy: 0.9294 - 930ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.1822 - categorical_accuracy: 0.9363 - val_loss: 0.2303 - val_categorical_accuracy: 0.9185 - 920ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2056 - categorical_accuracy: 0.9306 - val_loss: 0.2304 - val_categorical_accuracy: 0.9198 - 914ms/epoch - 6ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2074 - categorical_accuracy: 0.9299 - val_loss: 0.1912 - val_categorical_accuracy: 0.9330 - 920ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.1785 - categorical_accuracy: 0.9376 - val_loss: 0.1950 - val_categorical_accuracy: 0.9319 - 930ms/epoch - 7ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.1753 - categorical_accuracy: 0.9395 - val_loss: 0.2049 - val_categorical_accuracy: 0.9282 - 920ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.1618 - categorical_accuracy: 0.9440 - val_loss: 0.1856 - val_categorical_accuracy: 0.9351 - 910ms/epoch - 6ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.1687 - categorical_accuracy: 0.9413 - val_loss: 1.0580 - val_categorical_accuracy: 0.7076 - 928ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2691 - categorical_accuracy: 0.9159 - val_loss: 0.2030 - val_categorical_accuracy: 0.9293 - 920ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.1554 - categorical_accuracy: 0.9466 - val_loss: 0.1723 - val_categorical_accuracy: 0.9410 - 914ms/epoch - 6ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.1891 - categorical_accuracy: 0.9394 - val_loss: 0.2133 - val_categorical_accuracy: 0.9298 - 930ms/epoch - 7ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.1581 - categorical_accuracy: 0.9458 - val_loss: 0.1647 - val_categorical_accuracy: 0.9434 - 920ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.1611 - categorical_accuracy: 0.9453 - val_loss: 0.2148 - val_categorical_accuracy: 0.9261 - 920ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1396 - categorical_accuracy: 0.9519 - val_loss: 0.1958 - val_categorical_accuracy: 0.9370 - 920ms/epoch - 7ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.1648 - categorical_accuracy: 0.9445 - val_loss: 0.2474 - val_categorical_accuracy: 0.9169 - 930ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1461 - categorical_accuracy: 0.9499 - val_loss: 0.2699 - val_categorical_accuracy: 0.9021 - 920ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1304 - categorical_accuracy: 0.9553 - val_loss: 0.1815 - val_categorical_accuracy: 0.9368 - 910ms/epoch - 6ms/step
Epoch 61/1500
141/141 - 1s - loss: 2.6851 - categorical_accuracy: 0.1645 - val_loss: 2.0251 - val_categorical_accuracy: 0.2141 - 930ms/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 1.9005 - categorical_accuracy: 0.2429 - val_loss: 1.8086 - val_categorical_accuracy: 0.2867 - 920ms/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 1.6032 - categorical_accuracy: 0.3771 - val_loss: 1.4513 - val_categorical_accuracy: 0.4321 - 920ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 1.3904 - categorical_accuracy: 0.4661 - val_loss: 1.2742 - val_categorical_accuracy: 0.5190 - 910ms/epoch - 6ms/step
Epoch 65/1500
141/141 - 1s - loss: 1.2627 - categorical_accuracy: 0.5300 - val_loss: 1.2096 - val_categorical_accuracy: 0.5496 - 930ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 1.1154 - categorical_accuracy: 0.5919 - val_loss: 1.0213 - val_categorical_accuracy: 0.6183 - 930ms/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 1.0593 - categorical_accuracy: 0.6143 - val_loss: 0.9873 - val_categorical_accuracy: 0.6500 - 920ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.9088 - categorical_accuracy: 0.6643 - val_loss: 0.7977 - val_categorical_accuracy: 0.6993 - 910ms/epoch - 6ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.8343 - categorical_accuracy: 0.6886 - val_loss: 0.7814 - val_categorical_accuracy: 0.7035 - 910ms/epoch - 6ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.7648 - categorical_accuracy: 0.7116 - val_loss: 0.6820 - val_categorical_accuracy: 0.7401 - 910ms/epoch - 6ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.7504 - categorical_accuracy: 0.7219 - val_loss: 0.8051 - val_categorical_accuracy: 0.7063 - 920ms/epoch - 7ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.7119 - categorical_accuracy: 0.7369 - val_loss: 0.6659 - val_categorical_accuracy: 0.7555 - 910ms/epoch - 6ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.6853 - categorical_accuracy: 0.7494 - val_loss: 0.6413 - val_categorical_accuracy: 0.7567 - 910ms/epoch - 6ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.6073 - categorical_accuracy: 0.7728 - val_loss: 0.5705 - val_categorical_accuracy: 0.7873 - 904ms/epoch - 6ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.7459 - categorical_accuracy: 0.7408 - val_loss: 1.1420 - val_categorical_accuracy: 0.5889 - 930ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.7231 - categorical_accuracy: 0.7369 - val_loss: 0.6528 - val_categorical_accuracy: 0.7562 - 910ms/epoch - 6ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.5708 - categorical_accuracy: 0.7874 - val_loss: 0.5804 - val_categorical_accuracy: 0.7863 - 929ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.5511 - categorical_accuracy: 0.7986 - val_loss: 0.5328 - val_categorical_accuracy: 0.8043 - 940ms/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.5107 - categorical_accuracy: 0.8115 - val_loss: 0.5511 - val_categorical_accuracy: 0.7978 - 914ms/epoch - 6ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.5203 - categorical_accuracy: 0.8135 - val_loss: 0.4536 - val_categorical_accuracy: 0.8349 - 910ms/epoch - 6ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.4712 - categorical_accuracy: 0.8269 - val_loss: 0.4908 - val_categorical_accuracy: 0.8205 - 914ms/epoch - 6ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.4652 - categorical_accuracy: 0.8324 - val_loss: 0.4144 - val_categorical_accuracy: 0.8506 - 930ms/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.4722 - categorical_accuracy: 0.8322 - val_loss: 0.5181 - val_categorical_accuracy: 0.8079 - 920ms/epoch - 7ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.4160 - categorical_accuracy: 0.8487 - val_loss: 0.4064 - val_categorical_accuracy: 0.8563 - 920ms/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.4164 - categorical_accuracy: 0.8522 - val_loss: 0.4055 - val_categorical_accuracy: 0.8535 - 934ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 1.0786 - categorical_accuracy: 0.6439 - val_loss: 1.0111 - val_categorical_accuracy: 0.6348 - 930ms/epoch - 7ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.6523 - categorical_accuracy: 0.7640 - val_loss: 0.5228 - val_categorical_accuracy: 0.8139 - 919ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.4777 - categorical_accuracy: 0.8285 - val_loss: 0.4667 - val_categorical_accuracy: 0.8353 - 920ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.4378 - categorical_accuracy: 0.8433 - val_loss: 0.4122 - val_categorical_accuracy: 0.8502 - 920ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.4013 - categorical_accuracy: 0.8564 - val_loss: 0.3824 - val_categorical_accuracy: 0.8643 - 914ms/epoch - 6ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.3733 - categorical_accuracy: 0.8659 - val_loss: 0.4740 - val_categorical_accuracy: 0.8295 - 910ms/epoch - 6ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.5597 - categorical_accuracy: 0.8214 - val_loss: 0.3629 - val_categorical_accuracy: 0.8711 - 924ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.3662 - categorical_accuracy: 0.8708 - val_loss: 0.3965 - val_categorical_accuracy: 0.8564 - 910ms/epoch - 6ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.3326 - categorical_accuracy: 0.8822 - val_loss: 0.3711 - val_categorical_accuracy: 0.8665 - 910ms/epoch - 6ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.3277 - categorical_accuracy: 0.8837 - val_loss: 0.3527 - val_categorical_accuracy: 0.8743 - 910ms/epoch - 6ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.5029 - categorical_accuracy: 0.8419 - val_loss: 0.3470 - val_categorical_accuracy: 0.8779 - 920ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.3150 - categorical_accuracy: 0.8887 - val_loss: 0.3955 - val_categorical_accuracy: 0.8588 - 920ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.3066 - categorical_accuracy: 0.8919 - val_loss: 0.3176 - val_categorical_accuracy: 0.8882 - 910ms/epoch - 6ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.2933 - categorical_accuracy: 0.8971 - val_loss: 0.3404 - val_categorical_accuracy: 0.8823 - 930ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.3001 - categorical_accuracy: 0.8966 - val_loss: 0.3558 - val_categorical_accuracy: 0.8756 - 950ms/epoch - 7ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.3062 - categorical_accuracy: 0.8952 - val_loss: 0.2875 - val_categorical_accuracy: 0.9003 - 918ms/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.2677 - categorical_accuracy: 0.9066 - val_loss: 0.2986 - val_categorical_accuracy: 0.8951 - 940ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.2669 - categorical_accuracy: 0.9066 - val_loss: 0.2777 - val_categorical_accuracy: 0.9032 - 920ms/epoch - 7ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.3219 - categorical_accuracy: 0.8927 - val_loss: 0.2887 - val_categorical_accuracy: 0.8991 - 920ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.2507 - categorical_accuracy: 0.9125 - val_loss: 0.2887 - val_categorical_accuracy: 0.9003 - 920ms/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.2495 - categorical_accuracy: 0.9129 - val_loss: 0.2855 - val_categorical_accuracy: 0.8996 - 920ms/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.2557 - categorical_accuracy: 0.9124 - val_loss: 0.2654 - val_categorical_accuracy: 0.9084 - 910ms/epoch - 6ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.2396 - categorical_accuracy: 0.9165 - val_loss: 0.3091 - val_categorical_accuracy: 0.8949 - 910ms/epoch - 6ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.2655 - categorical_accuracy: 0.9101 - val_loss: 0.2744 - val_categorical_accuracy: 0.9052 - 934ms/epoch - 7ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.2499 - categorical_accuracy: 0.9170 - val_loss: 0.2583 - val_categorical_accuracy: 0.9104 - 920ms/epoch - 7ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.2268 - categorical_accuracy: 0.9214 - val_loss: 0.2595 - val_categorical_accuracy: 0.9088 - 920ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.2829 - categorical_accuracy: 0.9099 - val_loss: 0.2602 - val_categorical_accuracy: 0.9098 - 930ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.2109 - categorical_accuracy: 0.9271 - val_loss: 0.3576 - val_categorical_accuracy: 0.8798 - 920ms/epoch - 7ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.2222 - categorical_accuracy: 0.9242 - val_loss: 0.4118 - val_categorical_accuracy: 0.8597 - 904ms/epoch - 6ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.2095 - categorical_accuracy: 0.9273 - val_loss: 0.2520 - val_categorical_accuracy: 0.9135 - 910ms/epoch - 6ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.2082 - categorical_accuracy: 0.9274 - val_loss: 0.2734 - val_categorical_accuracy: 0.9061 - 934ms/epoch - 7ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.2275 - categorical_accuracy: 0.9228 - val_loss: 0.2405 - val_categorical_accuracy: 0.9168 - 920ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1984 - categorical_accuracy: 0.9316 - val_loss: 0.2732 - val_categorical_accuracy: 0.9055 - 924ms/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.2011 - categorical_accuracy: 0.9308 - val_loss: 0.2276 - val_categorical_accuracy: 0.9243 - 940ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1935 - categorical_accuracy: 0.9332 - val_loss: 0.2579 - val_categorical_accuracy: 0.9105 - 919ms/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.2049 - categorical_accuracy: 0.9314 - val_loss: 0.2508 - val_categorical_accuracy: 0.9135 - 910ms/epoch - 6ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.2228 - categorical_accuracy: 0.9254 - val_loss: 0.2440 - val_categorical_accuracy: 0.9156 - 920ms/epoch - 7ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1846 - categorical_accuracy: 0.9371 - val_loss: 0.2254 - val_categorical_accuracy: 0.9241 - 920ms/epoch - 7ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1959 - categorical_accuracy: 0.9340 - val_loss: 0.2673 - val_categorical_accuracy: 0.9099 - 910ms/epoch - 6ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1961 - categorical_accuracy: 0.9338 - val_loss: 0.2290 - val_categorical_accuracy: 0.9237 - 920ms/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1917 - categorical_accuracy: 0.9343 - val_loss: 0.2617 - val_categorical_accuracy: 0.9103 - 940ms/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1700 - categorical_accuracy: 0.9419 - val_loss: 0.2336 - val_categorical_accuracy: 0.9190 - 934ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1807 - categorical_accuracy: 0.9384 - val_loss: 0.2080 - val_categorical_accuracy: 0.9303 - 920ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1995 - categorical_accuracy: 0.9332 - val_loss: 0.2192 - val_categorical_accuracy: 0.9262 - 920ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1684 - categorical_accuracy: 0.9420 - val_loss: 0.2639 - val_categorical_accuracy: 0.9105 - 910ms/epoch - 6ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1601 - categorical_accuracy: 0.9451 - val_loss: 0.2192 - val_categorical_accuracy: 0.9272 - 905ms/epoch - 6ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1614 - categorical_accuracy: 0.9445 - val_loss: 0.2138 - val_categorical_accuracy: 0.9309 - 910ms/epoch - 6ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.2143 - categorical_accuracy: 0.9333 - val_loss: 0.2323 - val_categorical_accuracy: 0.9237 - 930ms/epoch - 7ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1645 - categorical_accuracy: 0.9436 - val_loss: 0.2203 - val_categorical_accuracy: 0.9253 - 910ms/epoch - 6ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1969 - categorical_accuracy: 0.9378 - val_loss: 0.2309 - val_categorical_accuracy: 0.9218 - 920ms/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1663 - categorical_accuracy: 0.9427 - val_loss: 0.2282 - val_categorical_accuracy: 0.9244 - 936ms/epoch - 7ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1500 - categorical_accuracy: 0.9488 - val_loss: 0.3362 - val_categorical_accuracy: 0.8898 - 915ms/epoch - 6ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1959 - categorical_accuracy: 0.9360 - val_loss: 0.2174 - val_categorical_accuracy: 0.9271 - 921ms/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1409 - categorical_accuracy: 0.9518 - val_loss: 0.2024 - val_categorical_accuracy: 0.9329 - 910ms/epoch - 6ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1641 - categorical_accuracy: 0.9449 - val_loss: 0.2068 - val_categorical_accuracy: 0.9317 - 934ms/epoch - 7ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1621 - categorical_accuracy: 0.9459 - val_loss: 0.2234 - val_categorical_accuracy: 0.9250 - 920ms/epoch - 7ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1755 - categorical_accuracy: 0.9429 - val_loss: 0.2078 - val_categorical_accuracy: 0.9314 - 915ms/epoch - 6ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1387 - categorical_accuracy: 0.9525 - val_loss: 0.1994 - val_categorical_accuracy: 0.9350 - 930ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1527 - categorical_accuracy: 0.9486 - val_loss: 0.2264 - val_categorical_accuracy: 0.9236 - 919ms/epoch - 7ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1380 - categorical_accuracy: 0.9525 - val_loss: 0.4853 - val_categorical_accuracy: 0.8469 - 930ms/epoch - 7ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.2319 - categorical_accuracy: 0.9301 - val_loss: 0.2381 - val_categorical_accuracy: 0.9201 - 910ms/epoch - 6ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1381 - categorical_accuracy: 0.9537 - val_loss: 0.3215 - val_categorical_accuracy: 0.8966 - 920ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1405 - categorical_accuracy: 0.9524 - val_loss: 0.2667 - val_categorical_accuracy: 0.9108 - 920ms/epoch - 7ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1436 - categorical_accuracy: 0.9510 - val_loss: 0.1988 - val_categorical_accuracy: 0.9330 - 910ms/epoch - 6ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1454 - categorical_accuracy: 0.9505 - val_loss: 0.1931 - val_categorical_accuracy: 0.9375 - 940ms/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1362 - categorical_accuracy: 0.9538 - val_loss: 0.2075 - val_categorical_accuracy: 0.9318 - 920ms/epoch - 7ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1376 - categorical_accuracy: 0.9529 - val_loss: 0.2350 - val_categorical_accuracy: 0.9248 - 930ms/epoch - 7ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1824 - categorical_accuracy: 0.9430 - val_loss: 0.2087 - val_categorical_accuracy: 0.9318 - 919ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1302 - categorical_accuracy: 0.9558 - val_loss: 0.2002 - val_categorical_accuracy: 0.9352 - 910ms/epoch - 6ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.1254 - categorical_accuracy: 0.9572 - val_loss: 0.2167 - val_categorical_accuracy: 0.9314 - 915ms/epoch - 6ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.1553 - categorical_accuracy: 0.9495 - val_loss: 0.2484 - val_categorical_accuracy: 0.9169 - 910ms/epoch - 6ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.1224 - categorical_accuracy: 0.9582 - val_loss: 0.2136 - val_categorical_accuracy: 0.9304 - 934ms/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.1308 - categorical_accuracy: 0.9552 - val_loss: 0.1959 - val_categorical_accuracy: 0.9355 - 920ms/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1320 - categorical_accuracy: 0.9547 - val_loss: 0.1988 - val_categorical_accuracy: 0.9351 - 924ms/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9579 - val_loss: 0.2704 - val_categorical_accuracy: 0.9121 - 940ms/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.1257 - categorical_accuracy: 0.9569 - val_loss: 1.4107 - val_categorical_accuracy: 0.6938 - 915ms/epoch - 6ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.2801 - categorical_accuracy: 0.9199 - val_loss: 0.1968 - val_categorical_accuracy: 0.9373 - 920ms/epoch - 7ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1222 - categorical_accuracy: 0.9584 - val_loss: 0.1897 - val_categorical_accuracy: 0.9402 - 914ms/epoch - 6ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1156 - categorical_accuracy: 0.9609 - val_loss: 0.2111 - val_categorical_accuracy: 0.9319 - 926ms/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1497 - categorical_accuracy: 0.9509 - val_loss: 0.1919 - val_categorical_accuracy: 0.9378 - 930ms/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1145 - categorical_accuracy: 0.9607 - val_loss: 0.1926 - val_categorical_accuracy: 0.9383 - 925ms/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1325 - categorical_accuracy: 0.9558 - val_loss: 0.2203 - val_categorical_accuracy: 0.9278 - 945ms/epoch - 7ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.1189 - categorical_accuracy: 0.9595 - val_loss: 0.1888 - val_categorical_accuracy: 0.9404 - 940ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.1088 - categorical_accuracy: 0.9631 - val_loss: 0.2184 - val_categorical_accuracy: 0.9302 - 920ms/epoch - 7ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1154 - categorical_accuracy: 0.9605 - val_loss: 0.1962 - val_categorical_accuracy: 0.9379 - 925ms/epoch - 7ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1922 - categorical_accuracy: 0.9418 - val_loss: 0.1920 - val_categorical_accuracy: 0.9390 - 920ms/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.1130 - categorical_accuracy: 0.9621 - val_loss: 0.2028 - val_categorical_accuracy: 0.9344 - 914ms/epoch - 6ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1099 - categorical_accuracy: 0.9627 - val_loss: 0.1841 - val_categorical_accuracy: 0.9441 - 910ms/epoch - 6ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1501 - categorical_accuracy: 0.9525 - val_loss: 0.1915 - val_categorical_accuracy: 0.9385 - 934ms/epoch - 7ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.1259 - categorical_accuracy: 0.9584 - val_loss: 0.1914 - val_categorical_accuracy: 0.9370 - 920ms/epoch - 7ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.1048 - categorical_accuracy: 0.9645 - val_loss: 0.2111 - val_categorical_accuracy: 0.9377 - 924ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.1101 - categorical_accuracy: 0.9626 - val_loss: 0.2025 - val_categorical_accuracy: 0.9372 - 946ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.1073 - categorical_accuracy: 0.9636 - val_loss: 0.1861 - val_categorical_accuracy: 0.9431 - 920ms/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.1142 - categorical_accuracy: 0.9617 - val_loss: 0.2018 - val_categorical_accuracy: 0.9369 - 910ms/epoch - 6ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.1042 - categorical_accuracy: 0.9644 - val_loss: 0.1879 - val_categorical_accuracy: 0.9424 - 900ms/epoch - 6ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1211 - categorical_accuracy: 0.9598 - val_loss: 0.3057 - val_categorical_accuracy: 0.9069 - 920ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.1099 - categorical_accuracy: 0.9628 - val_loss: 0.2283 - val_categorical_accuracy: 0.9285 - 920ms/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.1299 - categorical_accuracy: 0.9574 - val_loss: 0.1800 - val_categorical_accuracy: 0.9433 - 915ms/epoch - 6ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.1232 - categorical_accuracy: 0.9597 - val_loss: 0.1876 - val_categorical_accuracy: 0.9408 - 930ms/epoch - 7ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0970 - categorical_accuracy: 0.9669 - val_loss: 0.2677 - val_categorical_accuracy: 0.9164 - 918ms/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.1238 - categorical_accuracy: 0.9585 - val_loss: 0.1863 - val_categorical_accuracy: 0.9420 - 920ms/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.1153 - categorical_accuracy: 0.9616 - val_loss: 0.2098 - val_categorical_accuracy: 0.9355 - 920ms/epoch - 7ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9643 - val_loss: 0.1968 - val_categorical_accuracy: 0.9402 - 920ms/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0968 - categorical_accuracy: 0.9668 - val_loss: 0.1841 - val_categorical_accuracy: 0.9440 - 924ms/epoch - 7ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9675 - val_loss: 0.2789 - val_categorical_accuracy: 0.9130 - 926ms/epoch - 7ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9652 - val_loss: 0.2354 - val_categorical_accuracy: 0.9264 - 950ms/epoch - 7ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.1342 - categorical_accuracy: 0.9580 - val_loss: 0.1838 - val_categorical_accuracy: 0.9430 - 925ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.1546 - categorical_accuracy: 0.9526 - val_loss: 0.1957 - val_categorical_accuracy: 0.9376 - 920ms/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9672 - val_loss: 0.1789 - val_categorical_accuracy: 0.9460 - 950ms/epoch - 7ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9698 - val_loss: 0.2519 - val_categorical_accuracy: 0.9237 - 910ms/epoch - 6ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.1004 - categorical_accuracy: 0.9658 - val_loss: 0.1977 - val_categorical_accuracy: 0.9393 - 904ms/epoch - 6ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9679 - val_loss: 0.1962 - val_categorical_accuracy: 0.9407 - 920ms/epoch - 7ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.1278 - categorical_accuracy: 0.9585 - val_loss: 0.1914 - val_categorical_accuracy: 0.9430 - 924ms/epoch - 7ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0995 - categorical_accuracy: 0.9664 - val_loss: 0.1950 - val_categorical_accuracy: 0.9421 - 910ms/epoch - 6ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.1008 - categorical_accuracy: 0.9655 - val_loss: 0.2058 - val_categorical_accuracy: 0.9367 - 920ms/epoch - 7ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9691 - val_loss: 0.2067 - val_categorical_accuracy: 0.9379 - 930ms/epoch - 7ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9689 - val_loss: 0.1892 - val_categorical_accuracy: 0.9428 - 924ms/epoch - 7ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.1212 - categorical_accuracy: 0.9605 - val_loss: 0.1818 - val_categorical_accuracy: 0.9470 - 916ms/epoch - 6ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9694 - val_loss: 0.1792 - val_categorical_accuracy: 0.9472 - 920ms/epoch - 7ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9672 - val_loss: 0.2014 - val_categorical_accuracy: 0.9392 - 914ms/epoch - 6ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9708 - val_loss: 0.3316 - val_categorical_accuracy: 0.9041 - 910ms/epoch - 6ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.4892 - categorical_accuracy: 0.8573 - val_loss: 0.2813 - val_categorical_accuracy: 0.9086 - 924ms/epoch - 7ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.1286 - categorical_accuracy: 0.9561 - val_loss: 0.2120 - val_categorical_accuracy: 0.9318 - 940ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.1072 - categorical_accuracy: 0.9630 - val_loss: 0.2079 - val_categorical_accuracy: 0.9347 - 914ms/epoch - 6ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.1008 - categorical_accuracy: 0.9657 - val_loss: 0.1841 - val_categorical_accuracy: 0.9438 - 920ms/epoch - 7ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.1037 - categorical_accuracy: 0.9646 - val_loss: 0.2157 - val_categorical_accuracy: 0.9343 - 924ms/epoch - 7ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0967 - categorical_accuracy: 0.9667 - val_loss: 0.2333 - val_categorical_accuracy: 0.9292 - 920ms/epoch - 7ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.1287 - categorical_accuracy: 0.9592 - val_loss: 0.2011 - val_categorical_accuracy: 0.9384 - 925ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9694 - val_loss: 0.1841 - val_categorical_accuracy: 0.9455 - 930ms/epoch - 7ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.1432 - categorical_accuracy: 0.9567 - val_loss: 0.1901 - val_categorical_accuracy: 0.9410 - 924ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0931 - categorical_accuracy: 0.9689 - val_loss: 0.2051 - val_categorical_accuracy: 0.9384 - 916ms/epoch - 6ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0884 - categorical_accuracy: 0.9699 - val_loss: 0.1828 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0882 - categorical_accuracy: 0.9699 - val_loss: 0.1949 - val_categorical_accuracy: 0.9410 - 934ms/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0894 - categorical_accuracy: 0.9695 - val_loss: 0.1846 - val_categorical_accuracy: 0.9456 - 920ms/epoch - 7ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9708 - val_loss: 0.1945 - val_categorical_accuracy: 0.9449 - 924ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0929 - categorical_accuracy: 0.9679 - val_loss: 0.1925 - val_categorical_accuracy: 0.9436 - 920ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0846 - categorical_accuracy: 0.9710 - val_loss: 0.2339 - val_categorical_accuracy: 0.9313 - 914ms/epoch - 6ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9663 - val_loss: 0.2005 - val_categorical_accuracy: 0.9404 - 920ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0821 - categorical_accuracy: 0.9721 - val_loss: 0.1721 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9684 - val_loss: 0.2087 - val_categorical_accuracy: 0.9367 - 920ms/epoch - 7ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.1396 - categorical_accuracy: 0.9572 - val_loss: 0.2059 - val_categorical_accuracy: 0.9339 - 910ms/epoch - 6ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9715 - val_loss: 0.2727 - val_categorical_accuracy: 0.9189 - 910ms/epoch - 6ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9706 - val_loss: 0.1912 - val_categorical_accuracy: 0.9438 - 930ms/epoch - 7ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0831 - categorical_accuracy: 0.9715 - val_loss: 0.2657 - val_categorical_accuracy: 0.9219 - 910ms/epoch - 6ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9698 - val_loss: 0.1944 - val_categorical_accuracy: 0.9423 - 940ms/epoch - 7ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0807 - categorical_accuracy: 0.9725 - val_loss: 0.1976 - val_categorical_accuracy: 0.9429 - 930ms/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.1187 - categorical_accuracy: 0.9624 - val_loss: 0.1840 - val_categorical_accuracy: 0.9470 - 930ms/epoch - 7ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0784 - categorical_accuracy: 0.9732 - val_loss: 0.1931 - val_categorical_accuracy: 0.9449 - 930ms/epoch - 7ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9738 - val_loss: 0.1934 - val_categorical_accuracy: 0.9438 - 910ms/epoch - 6ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9652 - val_loss: 0.1848 - val_categorical_accuracy: 0.9471 - 930ms/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9727 - val_loss: 0.1844 - val_categorical_accuracy: 0.9480 - 910ms/epoch - 6ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0880 - categorical_accuracy: 0.9701 - val_loss: 0.1900 - val_categorical_accuracy: 0.9453 - 920ms/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9727 - val_loss: 0.1984 - val_categorical_accuracy: 0.9427 - 910ms/epoch - 6ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9736 - val_loss: 0.2137 - val_categorical_accuracy: 0.9375 - 900ms/epoch - 6ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.1357 - categorical_accuracy: 0.9600 - val_loss: 0.2272 - val_categorical_accuracy: 0.9295 - 908ms/epoch - 6ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0893 - categorical_accuracy: 0.9701 - val_loss: 0.1813 - val_categorical_accuracy: 0.9493 - 920ms/epoch - 7ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9744 - val_loss: 0.2006 - val_categorical_accuracy: 0.9416 - 930ms/epoch - 7ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9737 - val_loss: 0.1873 - val_categorical_accuracy: 0.9480 - 920ms/epoch - 7ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0749 - categorical_accuracy: 0.9743 - val_loss: 0.1905 - val_categorical_accuracy: 0.9471 - 920ms/epoch - 7ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9689 - val_loss: 0.2074 - val_categorical_accuracy: 0.9362 - 920ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9725 - val_loss: 0.1866 - val_categorical_accuracy: 0.9473 - 910ms/epoch - 6ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.1116 - categorical_accuracy: 0.9648 - val_loss: 0.2167 - val_categorical_accuracy: 0.9341 - 910ms/epoch - 6ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9695 - val_loss: 0.2085 - val_categorical_accuracy: 0.9385 - 920ms/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9748 - val_loss: 0.1900 - val_categorical_accuracy: 0.9446 - 930ms/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9747 - val_loss: 0.1852 - val_categorical_accuracy: 0.9485 - 909ms/epoch - 6ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9665 - val_loss: 0.1852 - val_categorical_accuracy: 0.9448 - 920ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9744 - val_loss: 0.2009 - val_categorical_accuracy: 0.9440 - 930ms/epoch - 7ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9744 - val_loss: 0.2044 - val_categorical_accuracy: 0.9408 - 910ms/epoch - 6ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9657 - val_loss: 0.9233 - val_categorical_accuracy: 0.7929 - 910ms/epoch - 6ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9711 - val_loss: 0.1918 - val_categorical_accuracy: 0.9447 - 920ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9762 - val_loss: 0.1836 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9682 - val_loss: 0.1900 - val_categorical_accuracy: 0.9423 - 910ms/epoch - 6ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9754 - val_loss: 0.1761 - val_categorical_accuracy: 0.9521 - 910ms/epoch - 6ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9759 - val_loss: 0.1910 - val_categorical_accuracy: 0.9481 - 935ms/epoch - 7ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0884 - categorical_accuracy: 0.9703 - val_loss: 0.1969 - val_categorical_accuracy: 0.9435 - 900ms/epoch - 6ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0825 - categorical_accuracy: 0.9720 - val_loss: 0.1856 - val_categorical_accuracy: 0.9496 - 914ms/epoch - 6ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0751 - categorical_accuracy: 0.9745 - val_loss: 0.1836 - val_categorical_accuracy: 0.9481 - 920ms/epoch - 7ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9762 - val_loss: 0.1843 - val_categorical_accuracy: 0.9503 - 920ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9764 - val_loss: 0.1834 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0790 - categorical_accuracy: 0.9727 - val_loss: 0.1831 - val_categorical_accuracy: 0.9511 - 920ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.1098 - categorical_accuracy: 0.9659 - val_loss: 0.1844 - val_categorical_accuracy: 0.9478 - 949ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9762 - val_loss: 0.1937 - val_categorical_accuracy: 0.9461 - 927ms/epoch - 7ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9766 - val_loss: 0.1721 - val_categorical_accuracy: 0.9542 - 915ms/epoch - 6ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0747 - categorical_accuracy: 0.9741 - val_loss: 0.1833 - val_categorical_accuracy: 0.9492 - 924ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9768 - val_loss: 0.2029 - val_categorical_accuracy: 0.9449 - 910ms/epoch - 6ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.1420 - categorical_accuracy: 0.9581 - val_loss: 0.1851 - val_categorical_accuracy: 0.9463 - 910ms/epoch - 6ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9752 - val_loss: 0.1959 - val_categorical_accuracy: 0.9460 - 926ms/epoch - 7ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9765 - val_loss: 0.1928 - val_categorical_accuracy: 0.9483 - 920ms/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9768 - val_loss: 0.2098 - val_categorical_accuracy: 0.9434 - 920ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9770 - val_loss: 0.1877 - val_categorical_accuracy: 0.9497 - 920ms/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9749 - val_loss: 0.1894 - val_categorical_accuracy: 0.9496 - 930ms/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9762 - val_loss: 0.1953 - val_categorical_accuracy: 0.9480 - 910ms/epoch - 6ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.2282 - categorical_accuracy: 0.9368 - val_loss: 0.1839 - val_categorical_accuracy: 0.9487 - 920ms/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9763 - val_loss: 0.1865 - val_categorical_accuracy: 0.9482 - 914ms/epoch - 6ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0680 - categorical_accuracy: 0.9767 - val_loss: 0.1847 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9753 - val_loss: 0.1885 - val_categorical_accuracy: 0.9482 - 915ms/epoch - 6ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.1187 - categorical_accuracy: 0.9646 - val_loss: 0.1906 - val_categorical_accuracy: 0.9482 - 920ms/epoch - 7ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9767 - val_loss: 0.1864 - val_categorical_accuracy: 0.9491 - 929ms/epoch - 7ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9773 - val_loss: 0.1968 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9767 - val_loss: 0.1833 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9772 - val_loss: 0.2009 - val_categorical_accuracy: 0.9462 - 920ms/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9757 - val_loss: 0.1898 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9705 - val_loss: 0.1867 - val_categorical_accuracy: 0.9496 - 930ms/epoch - 7ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9780 - val_loss: 0.1853 - val_categorical_accuracy: 0.9508 - 924ms/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9773 - val_loss: 0.1899 - val_categorical_accuracy: 0.9497 - 936ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9761 - val_loss: 0.1885 - val_categorical_accuracy: 0.9492 - 920ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.1303 - categorical_accuracy: 0.9616 - val_loss: 0.1915 - val_categorical_accuracy: 0.9463 - 914ms/epoch - 6ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9770 - val_loss: 0.2268 - val_categorical_accuracy: 0.9372 - 920ms/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0914 - categorical_accuracy: 0.9706 - val_loss: 0.1810 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9774 - val_loss: 0.1943 - val_categorical_accuracy: 0.9495 - 910ms/epoch - 6ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9761 - val_loss: 0.1841 - val_categorical_accuracy: 0.9511 - 934ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9777 - val_loss: 0.2116 - val_categorical_accuracy: 0.9424 - 910ms/epoch - 6ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.1014 - categorical_accuracy: 0.9685 - val_loss: 0.1839 - val_categorical_accuracy: 0.9502 - 910ms/epoch - 6ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0625 - categorical_accuracy: 0.9784 - val_loss: 0.1897 - val_categorical_accuracy: 0.9471 - 910ms/epoch - 6ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9774 - val_loss: 0.1984 - val_categorical_accuracy: 0.9478 - 950ms/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9782 - val_loss: 0.1967 - val_categorical_accuracy: 0.9473 - 930ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9775 - val_loss: 0.2038 - val_categorical_accuracy: 0.9461 - 934ms/epoch - 7ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9767 - val_loss: 0.2120 - val_categorical_accuracy: 0.9437 - 926ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0735 - categorical_accuracy: 0.9749 - val_loss: 0.1994 - val_categorical_accuracy: 0.9453 - 920ms/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0625 - categorical_accuracy: 0.9783 - val_loss: 0.2073 - val_categorical_accuracy: 0.9456 - 920ms/epoch - 7ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9742 - val_loss: 0.3458 - val_categorical_accuracy: 0.9101 - 920ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9744 - val_loss: 0.1853 - val_categorical_accuracy: 0.9511 - 920ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9800 - val_loss: 0.1969 - val_categorical_accuracy: 0.9482 - 910ms/epoch - 6ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9782 - val_loss: 0.1898 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9777 - val_loss: 0.2010 - val_categorical_accuracy: 0.9493 - 920ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9776 - val_loss: 0.3043 - val_categorical_accuracy: 0.9247 - 920ms/epoch - 7ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.1084 - categorical_accuracy: 0.9671 - val_loss: 0.2156 - val_categorical_accuracy: 0.9434 - 910ms/epoch - 6ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9745 - val_loss: 0.1843 - val_categorical_accuracy: 0.9522 - 914ms/epoch - 6ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9787 - val_loss: 0.2164 - val_categorical_accuracy: 0.9423 - 910ms/epoch - 6ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9770 - val_loss: 0.2018 - val_categorical_accuracy: 0.9465 - 904ms/epoch - 6ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9794 - val_loss: 0.2001 - val_categorical_accuracy: 0.9477 - 926ms/epoch - 7ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.1734 - categorical_accuracy: 0.9502 - val_loss: 0.1846 - val_categorical_accuracy: 0.9495 - 930ms/epoch - 7ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9786 - val_loss: 0.1897 - val_categorical_accuracy: 0.9502 - 925ms/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9796 - val_loss: 0.1876 - val_categorical_accuracy: 0.9519 - 920ms/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9792 - val_loss: 0.2116 - val_categorical_accuracy: 0.9441 - 924ms/epoch - 7ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9792 - val_loss: 0.1911 - val_categorical_accuracy: 0.9510 - 910ms/epoch - 6ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9785 - val_loss: 0.1922 - val_categorical_accuracy: 0.9521 - 910ms/epoch - 6ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9792 - val_loss: 0.2181 - val_categorical_accuracy: 0.9429 - 920ms/epoch - 7ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9792 - val_loss: 0.2021 - val_categorical_accuracy: 0.9483 - 925ms/epoch - 7ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9726 - val_loss: 0.2255 - val_categorical_accuracy: 0.9319 - 920ms/epoch - 7ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9761 - val_loss: 0.2024 - val_categorical_accuracy: 0.9484 - 914ms/epoch - 6ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9801 - val_loss: 0.1918 - val_categorical_accuracy: 0.9504 - 926ms/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9781 - val_loss: 0.2032 - val_categorical_accuracy: 0.9481 - 920ms/epoch - 7ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9718 - val_loss: 0.1996 - val_categorical_accuracy: 0.9456 - 910ms/epoch - 6ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9786 - val_loss: 0.2045 - val_categorical_accuracy: 0.9470 - 920ms/epoch - 7ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9785 - val_loss: 0.1865 - val_categorical_accuracy: 0.9533 - 926ms/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9677 - val_loss: 0.1893 - val_categorical_accuracy: 0.9496 - 910ms/epoch - 6ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9800 - val_loss: 0.1925 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9795 - val_loss: 0.1842 - val_categorical_accuracy: 0.9537 - 935ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9800 - val_loss: 0.2093 - val_categorical_accuracy: 0.9469 - 900ms/epoch - 6ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9787 - val_loss: 0.1952 - val_categorical_accuracy: 0.9516 - 900ms/epoch - 6ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9799 - val_loss: 0.2656 - val_categorical_accuracy: 0.9324 - 910ms/epoch - 6ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0826 - categorical_accuracy: 0.9726 - val_loss: 0.1992 - val_categorical_accuracy: 0.9481 - 916ms/epoch - 6ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9797 - val_loss: 0.2102 - val_categorical_accuracy: 0.9448 - 900ms/epoch - 6ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9787 - val_loss: 0.2001 - val_categorical_accuracy: 0.9491 - 910ms/epoch - 6ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9804 - val_loss: 0.2192 - val_categorical_accuracy: 0.9461 - 930ms/epoch - 7ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9797 - val_loss: 0.1864 - val_categorical_accuracy: 0.9545 - 904ms/epoch - 6ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9802 - val_loss: 0.1948 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9781 - val_loss: 0.1942 - val_categorical_accuracy: 0.9516 - 930ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9794 - val_loss: 0.1965 - val_categorical_accuracy: 0.9496 - 920ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9776 - val_loss: 0.1978 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9793 - val_loss: 0.2037 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9709 - val_loss: 0.1851 - val_categorical_accuracy: 0.9532 - 918ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9806 - val_loss: 0.1964 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9810 - val_loss: 0.2027 - val_categorical_accuracy: 0.9488 - 904ms/epoch - 6ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9803 - val_loss: 0.1977 - val_categorical_accuracy: 0.9529 - 936ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9809 - val_loss: 0.2003 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9800 - val_loss: 0.2006 - val_categorical_accuracy: 0.9489 - 925ms/epoch - 7ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9741 - val_loss: 0.1918 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9798 - val_loss: 0.2068 - val_categorical_accuracy: 0.9483 - 905ms/epoch - 6ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.1401 - categorical_accuracy: 0.9610 - val_loss: 0.1803 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9809 - val_loss: 0.1933 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9798 - val_loss: 0.2143 - val_categorical_accuracy: 0.9470 - 940ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9803 - val_loss: 0.2030 - val_categorical_accuracy: 0.9485 - 910ms/epoch - 6ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9805 - val_loss: 0.1935 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9693 - val_loss: 0.1857 - val_categorical_accuracy: 0.9529 - 925ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1957 - val_categorical_accuracy: 0.9502 - 940ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9806 - val_loss: 0.2105 - val_categorical_accuracy: 0.9482 - 920ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9797 - val_loss: 0.1972 - val_categorical_accuracy: 0.9501 - 918ms/epoch - 7ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9800 - val_loss: 0.2006 - val_categorical_accuracy: 0.9516 - 940ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9808 - val_loss: 0.2083 - val_categorical_accuracy: 0.9487 - 910ms/epoch - 6ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9806 - val_loss: 0.1910 - val_categorical_accuracy: 0.9539 - 910ms/epoch - 6ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9770 - val_loss: 0.2128 - val_categorical_accuracy: 0.9455 - 920ms/epoch - 7ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9804 - val_loss: 0.2041 - val_categorical_accuracy: 0.9487 - 910ms/epoch - 6ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9806 - val_loss: 0.2072 - val_categorical_accuracy: 0.9504 - 920ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9797 - val_loss: 0.1942 - val_categorical_accuracy: 0.9519 - 920ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9811 - val_loss: 0.2125 - val_categorical_accuracy: 0.9488 - 920ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0867 - categorical_accuracy: 0.9720 - val_loss: 0.1909 - val_categorical_accuracy: 0.9501 - 920ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9804 - val_loss: 0.2250 - val_categorical_accuracy: 0.9430 - 920ms/epoch - 7ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9796 - val_loss: 0.2272 - val_categorical_accuracy: 0.9439 - 930ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9805 - val_loss: 0.2094 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9708 - val_loss: 0.2012 - val_categorical_accuracy: 0.9476 - 920ms/epoch - 7ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9810 - val_loss: 0.2008 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.2079 - val_categorical_accuracy: 0.9503 - 920ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9819 - val_loss: 0.1980 - val_categorical_accuracy: 0.9518 - 910ms/epoch - 6ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9808 - val_loss: 0.2229 - val_categorical_accuracy: 0.9466 - 910ms/epoch - 6ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9807 - val_loss: 0.3615 - val_categorical_accuracy: 0.9103 - 930ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9632 - val_loss: 0.2297 - val_categorical_accuracy: 0.9310 - 900ms/epoch - 6ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9791 - val_loss: 0.2032 - val_categorical_accuracy: 0.9481 - 910ms/epoch - 6ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1953 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9807 - val_loss: 0.2042 - val_categorical_accuracy: 0.9498 - 930ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9803 - val_loss: 0.1955 - val_categorical_accuracy: 0.9511 - 920ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9818 - val_loss: 0.2613 - val_categorical_accuracy: 0.9344 - 910ms/epoch - 6ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9813 - val_loss: 0.2072 - val_categorical_accuracy: 0.9488 - 910ms/epoch - 6ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9775 - val_loss: 0.1969 - val_categorical_accuracy: 0.9509 - 900ms/epoch - 6ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9813 - val_loss: 0.1995 - val_categorical_accuracy: 0.9513 - 930ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9812 - val_loss: 0.2287 - val_categorical_accuracy: 0.9447 - 930ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9678 - val_loss: 0.1999 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9821 - val_loss: 0.1967 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9810 - val_loss: 0.2049 - val_categorical_accuracy: 0.9507 - 910ms/epoch - 6ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9812 - val_loss: 0.1973 - val_categorical_accuracy: 0.9541 - 1s/epoch - 8ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9793 - val_loss: 0.1920 - val_categorical_accuracy: 0.9531 - 930ms/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9816 - val_loss: 0.2108 - val_categorical_accuracy: 0.9496 - 920ms/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9820 - val_loss: 0.1892 - val_categorical_accuracy: 0.9551 - 934ms/epoch - 7ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9819 - val_loss: 0.2120 - val_categorical_accuracy: 0.9486 - 910ms/epoch - 6ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9805 - val_loss: 0.1985 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9713 - val_loss: 0.2049 - val_categorical_accuracy: 0.9464 - 940ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9807 - val_loss: 0.1933 - val_categorical_accuracy: 0.9538 - 918ms/epoch - 7ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.2066 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9810 - val_loss: 0.1951 - val_categorical_accuracy: 0.9548 - 919ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9773 - val_loss: 0.1973 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9817 - val_loss: 0.4044 - val_categorical_accuracy: 0.9063 - 915ms/epoch - 6ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9755 - val_loss: 0.1923 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.1865 - val_categorical_accuracy: 0.9549 - 934ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.2001 - val_categorical_accuracy: 0.9512 - 910ms/epoch - 6ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9822 - val_loss: 0.1985 - val_categorical_accuracy: 0.9531 - 920ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9819 - val_loss: 0.1953 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9818 - val_loss: 0.2376 - val_categorical_accuracy: 0.9449 - 918ms/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9708 - val_loss: 0.2057 - val_categorical_accuracy: 0.9493 - 920ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9818 - val_loss: 0.1949 - val_categorical_accuracy: 0.9538 - 920ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9823 - val_loss: 0.1903 - val_categorical_accuracy: 0.9558 - 930ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1995 - val_categorical_accuracy: 0.9525 - 910ms/epoch - 6ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9815 - val_loss: 0.2008 - val_categorical_accuracy: 0.9520 - 925ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9749 - val_loss: 0.1996 - val_categorical_accuracy: 0.9521 - 940ms/epoch - 7ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1967 - val_categorical_accuracy: 0.9530 - 914ms/epoch - 6ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9823 - val_loss: 0.1944 - val_categorical_accuracy: 0.9550 - 920ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9823 - val_loss: 0.1998 - val_categorical_accuracy: 0.9533 - 914ms/epoch - 6ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9817 - val_loss: 0.2112 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9825 - val_loss: 0.2049 - val_categorical_accuracy: 0.9518 - 915ms/epoch - 6ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9824 - val_loss: 0.2142 - val_categorical_accuracy: 0.9502 - 920ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9821 - val_loss: 0.1962 - val_categorical_accuracy: 0.9544 - 934ms/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9816 - val_loss: 0.2222 - val_categorical_accuracy: 0.9497 - 916ms/epoch - 6ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9812 - val_loss: 0.2836 - val_categorical_accuracy: 0.9353 - 910ms/epoch - 6ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9744 - val_loss: 0.1966 - val_categorical_accuracy: 0.9540 - 921ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9822 - val_loss: 0.1895 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9824 - val_loss: 0.2072 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9811 - val_loss: 0.1962 - val_categorical_accuracy: 0.9534 - 920ms/epoch - 7ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9819 - val_loss: 0.2102 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9821 - val_loss: 0.2021 - val_categorical_accuracy: 0.9535 - 910ms/epoch - 6ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9825 - val_loss: 0.2060 - val_categorical_accuracy: 0.9532 - 914ms/epoch - 6ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9802 - val_loss: 2.0213 - val_categorical_accuracy: 0.7672 - 920ms/epoch - 7ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.1386 - categorical_accuracy: 0.9605 - val_loss: 0.1888 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1894 - val_categorical_accuracy: 0.9545 - 910ms/epoch - 6ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9820 - val_loss: 0.1888 - val_categorical_accuracy: 0.9556 - 910ms/epoch - 6ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9827 - val_loss: 0.1919 - val_categorical_accuracy: 0.9558 - 924ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9834 - val_loss: 0.2022 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9825 - val_loss: 0.2174 - val_categorical_accuracy: 0.9497 - 915ms/epoch - 6ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9808 - val_loss: 0.2420 - val_categorical_accuracy: 0.9432 - 920ms/epoch - 7ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9806 - val_loss: 0.2102 - val_categorical_accuracy: 0.9491 - 914ms/epoch - 6ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9823 - val_loss: 0.1920 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9823 - val_loss: 0.2134 - val_categorical_accuracy: 0.9489 - 924ms/epoch - 7ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9753 - val_loss: 0.2121 - val_categorical_accuracy: 0.9479 - 920ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9822 - val_loss: 0.1929 - val_categorical_accuracy: 0.9548 - 914ms/epoch - 6ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9834 - val_loss: 0.2003 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9835 - val_loss: 0.2010 - val_categorical_accuracy: 0.9521 - 934ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.1982 - val_categorical_accuracy: 0.9548 - 906ms/epoch - 6ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9797 - val_loss: 0.1956 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9821 - val_loss: 0.1970 - val_categorical_accuracy: 0.9537 - 930ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9830 - val_loss: 0.2009 - val_categorical_accuracy: 0.9546 - 910ms/epoch - 6ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9807 - val_loss: 0.2058 - val_categorical_accuracy: 0.9533 - 915ms/epoch - 6ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.2100 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9758 - val_loss: 0.3424 - val_categorical_accuracy: 0.9040 - 930ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9800 - val_loss: 0.1900 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.2639 - val_categorical_accuracy: 0.9366 - 914ms/epoch - 6ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9642 - val_loss: 0.1832 - val_categorical_accuracy: 0.9557 - 930ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9834 - val_loss: 0.2045 - val_categorical_accuracy: 0.9520 - 914ms/epoch - 6ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.1942 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9775 - val_loss: 0.3734 - val_categorical_accuracy: 0.8964 - 910ms/epoch - 6ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9794 - val_loss: 0.2004 - val_categorical_accuracy: 0.9522 - 924ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.2017 - val_categorical_accuracy: 0.9536 - 915ms/epoch - 6ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9824 - val_loss: 0.2091 - val_categorical_accuracy: 0.9519 - 920ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.2192 - val_categorical_accuracy: 0.9465 - 920ms/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.2043 - val_categorical_accuracy: 0.9537 - 914ms/epoch - 6ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9825 - val_loss: 0.2075 - val_categorical_accuracy: 0.9538 - 910ms/epoch - 6ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9831 - val_loss: 0.2046 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9831 - val_loss: 0.2417 - val_categorical_accuracy: 0.9434 - 910ms/epoch - 6ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9830 - val_loss: 0.2064 - val_categorical_accuracy: 0.9538 - 914ms/epoch - 6ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9832 - val_loss: 0.2028 - val_categorical_accuracy: 0.9554 - 900ms/epoch - 6ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9828 - val_loss: 0.3408 - val_categorical_accuracy: 0.9223 - 924ms/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9784 - val_loss: 0.2039 - val_categorical_accuracy: 0.9535 - 910ms/epoch - 6ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.2109 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9825 - val_loss: 0.2203 - val_categorical_accuracy: 0.9480 - 930ms/epoch - 7ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.2134 - val_categorical_accuracy: 0.9523 - 910ms/epoch - 6ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9819 - val_loss: 0.2211 - val_categorical_accuracy: 0.9506 - 910ms/epoch - 6ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9832 - val_loss: 0.1978 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9834 - val_loss: 0.2106 - val_categorical_accuracy: 0.9519 - 920ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9832 - val_loss: 0.2091 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.1886 - categorical_accuracy: 0.9457 - val_loss: 0.1916 - val_categorical_accuracy: 0.9531 - 915ms/epoch - 6ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9825 - val_loss: 0.2245 - val_categorical_accuracy: 0.9464 - 920ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.1967 - val_categorical_accuracy: 0.9547 - 900ms/epoch - 6ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.2165 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.2171 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.1944 - val_categorical_accuracy: 0.9559 - 935ms/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9844 - val_loss: 0.2006 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9823 - val_loss: 0.1986 - val_categorical_accuracy: 0.9540 - 920ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2186 - val_categorical_accuracy: 0.9506 - 940ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.2075 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2099 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9835 - val_loss: 0.2220 - val_categorical_accuracy: 0.9503 - 930ms/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9716 - val_loss: 0.2170 - val_categorical_accuracy: 0.9491 - 910ms/epoch - 6ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9833 - val_loss: 0.2226 - val_categorical_accuracy: 0.9466 - 904ms/epoch - 6ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9836 - val_loss: 0.2049 - val_categorical_accuracy: 0.9535 - 910ms/epoch - 6ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.2164 - val_categorical_accuracy: 0.9485 - 930ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9819 - val_loss: 0.1999 - val_categorical_accuracy: 0.9538 - 910ms/epoch - 6ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9766 - val_loss: 0.3344 - val_categorical_accuracy: 0.9052 - 910ms/epoch - 6ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9798 - val_loss: 0.2023 - val_categorical_accuracy: 0.9521 - 920ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.2142 - val_categorical_accuracy: 0.9497 - 910ms/epoch - 6ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9834 - val_loss: 0.2033 - val_categorical_accuracy: 0.9553 - 905ms/epoch - 6ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9840 - val_loss: 0.2061 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9723 - val_loss: 0.2070 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.1878 - val_categorical_accuracy: 0.9582 - 910ms/epoch - 6ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1981 - val_categorical_accuracy: 0.9549 - 904ms/epoch - 6ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.2558 - val_categorical_accuracy: 0.9424 - 930ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9835 - val_loss: 0.1977 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9838 - val_loss: 0.2228 - val_categorical_accuracy: 0.9501 - 920ms/epoch - 7ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9836 - val_loss: 0.2103 - val_categorical_accuracy: 0.9524 - 914ms/epoch - 6ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.2103 - val_categorical_accuracy: 0.9549 - 916ms/epoch - 6ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9835 - val_loss: 0.1965 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9814 - val_loss: 0.2275 - val_categorical_accuracy: 0.9478 - 910ms/epoch - 6ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.2143 - val_categorical_accuracy: 0.9519 - 930ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2135 - val_categorical_accuracy: 0.9530 - 910ms/epoch - 6ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9829 - val_loss: 0.2088 - val_categorical_accuracy: 0.9546 - 920ms/epoch - 7ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.2116 - val_categorical_accuracy: 0.9529 - 924ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.2253 - val_categorical_accuracy: 0.9486 - 910ms/epoch - 6ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.2084 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9829 - val_loss: 0.2503 - val_categorical_accuracy: 0.9422 - 920ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.1104 - categorical_accuracy: 0.9689 - val_loss: 0.2028 - val_categorical_accuracy: 0.9525 - 924ms/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.1938 - val_categorical_accuracy: 0.9565 - 916ms/epoch - 6ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1978 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.2151 - val_categorical_accuracy: 0.9534 - 940ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9832 - val_loss: 0.2031 - val_categorical_accuracy: 0.9569 - 940ms/epoch - 7ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2161 - val_categorical_accuracy: 0.9522 - 930ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2235 - val_categorical_accuracy: 0.9499 - 933ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9829 - val_loss: 0.2252 - val_categorical_accuracy: 0.9489 - 911ms/epoch - 6ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9829 - val_loss: 0.2006 - val_categorical_accuracy: 0.9574 - 911ms/epoch - 6ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9839 - val_loss: 0.2080 - val_categorical_accuracy: 0.9542 - 910ms/epoch - 6ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.2075 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9842 - val_loss: 0.2191 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9836 - val_loss: 0.2202 - val_categorical_accuracy: 0.9507 - 909ms/epoch - 6ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.1397 - categorical_accuracy: 0.9622 - val_loss: 0.3720 - val_categorical_accuracy: 0.8819 - 920ms/epoch - 7ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9721 - val_loss: 0.2147 - val_categorical_accuracy: 0.9502 - 910ms/epoch - 6ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1973 - val_categorical_accuracy: 0.9539 - 910ms/epoch - 6ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1992 - val_categorical_accuracy: 0.9551 - 910ms/epoch - 6ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.2058 - val_categorical_accuracy: 0.9551 - 920ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.2020 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9813 - val_loss: 0.2001 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9834 - val_loss: 0.2167 - val_categorical_accuracy: 0.9507 - 940ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1983 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.2195 - val_categorical_accuracy: 0.9489 - 930ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.2159 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.2007 - val_categorical_accuracy: 0.9579 - 910ms/epoch - 6ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.2138 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.2198 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.2496 - val_categorical_accuracy: 0.9460 - 930ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9817 - val_loss: 0.2150 - val_categorical_accuracy: 0.9535 - 930ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9771 - val_loss: 0.2016 - val_categorical_accuracy: 0.9537 - 914ms/epoch - 6ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.2062 - val_categorical_accuracy: 0.9548 - 930ms/epoch - 7ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.2036 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.2061 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9837 - val_loss: 0.2455 - val_categorical_accuracy: 0.9448 - 895ms/epoch - 6ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9750 - val_loss: 0.2271 - val_categorical_accuracy: 0.9475 - 930ms/epoch - 7ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9833 - val_loss: 0.2119 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.2202 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.1998 - val_categorical_accuracy: 0.9578 - 934ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9820 - val_loss: 0.2376 - val_categorical_accuracy: 0.9470 - 916ms/epoch - 6ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.2099 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9841 - val_loss: 0.2101 - val_categorical_accuracy: 0.9557 - 914ms/epoch - 6ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9847 - val_loss: 0.2131 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.2084 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2179 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2313 - val_categorical_accuracy: 0.9489 - 920ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9834 - val_loss: 0.2052 - val_categorical_accuracy: 0.9555 - 900ms/epoch - 6ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9754 - val_loss: 0.2087 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.2056 - val_categorical_accuracy: 0.9556 - 920ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.2024 - val_categorical_accuracy: 0.9540 - 920ms/epoch - 7ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1952 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2241 - val_categorical_accuracy: 0.9519 - 920ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9840 - val_loss: 0.2078 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2273 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.2068 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.2089 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9844 - val_loss: 0.2160 - val_categorical_accuracy: 0.9540 - 921ms/epoch - 7ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.1066 - categorical_accuracy: 0.9694 - val_loss: 0.2091 - val_categorical_accuracy: 0.9507 - 930ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.2125 - val_categorical_accuracy: 0.9521 - 934ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.2086 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2164 - val_categorical_accuracy: 0.9531 - 920ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.2122 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9844 - val_loss: 0.2412 - val_categorical_accuracy: 0.9498 - 920ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9822 - val_loss: 0.2229 - val_categorical_accuracy: 0.9515 - 910ms/epoch - 6ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.2065 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.2046 - val_categorical_accuracy: 0.9569 - 904ms/epoch - 6ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.2096 - val_categorical_accuracy: 0.9566 - 910ms/epoch - 6ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.2098 - val_categorical_accuracy: 0.9557 - 900ms/epoch - 6ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.1142 - categorical_accuracy: 0.9686 - val_loss: 0.1992 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.2015 - val_categorical_accuracy: 0.9566 - 930ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1980 - val_categorical_accuracy: 0.9580 - 910ms/epoch - 6ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2366 - val_categorical_accuracy: 0.9472 - 920ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.2182 - val_categorical_accuracy: 0.9547 - 920ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.2203 - val_categorical_accuracy: 0.9526 - 910ms/epoch - 6ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9766 - val_loss: 0.2039 - val_categorical_accuracy: 0.9558 - 900ms/epoch - 6ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1980 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9849 - val_loss: 0.2024 - val_categorical_accuracy: 0.9569 - 912ms/epoch - 6ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2110 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2106 - val_categorical_accuracy: 0.9551 - 924ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.2197 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.2356 - val_categorical_accuracy: 0.9466 - 900ms/epoch - 6ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.2109 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2488 - val_categorical_accuracy: 0.9457 - 914ms/epoch - 6ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9834 - val_loss: 0.2087 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9848 - val_loss: 0.2191 - val_categorical_accuracy: 0.9547 - 924ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9847 - val_loss: 0.2087 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2054 - val_categorical_accuracy: 0.9569 - 934ms/epoch - 7ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9834 - val_loss: 0.2170 - val_categorical_accuracy: 0.9512 - 926ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2048 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.3110 - val_categorical_accuracy: 0.9444 - 929ms/epoch - 7ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9732 - val_loss: 0.2058 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.2046 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2009 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2221 - val_categorical_accuracy: 0.9540 - 920ms/epoch - 7ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9848 - val_loss: 0.2119 - val_categorical_accuracy: 0.9542 - 920ms/epoch - 7ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2482 - val_categorical_accuracy: 0.9486 - 920ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.2192 - val_categorical_accuracy: 0.9534 - 940ms/epoch - 7ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2079 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.2181 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.2205 - val_categorical_accuracy: 0.9527 - 920ms/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9834 - val_loss: 0.2140 - val_categorical_accuracy: 0.9553 - 920ms/epoch - 7ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2290 - val_categorical_accuracy: 0.9513 - 910ms/epoch - 6ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.2152 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9806 - val_loss: 0.2720 - val_categorical_accuracy: 0.9389 - 940ms/epoch - 7ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9823 - val_loss: 0.2268 - val_categorical_accuracy: 0.9509 - 910ms/epoch - 6ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2146 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9851 - val_loss: 0.2388 - val_categorical_accuracy: 0.9488 - 930ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.2178 - val_categorical_accuracy: 0.9535 - 920ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2232 - val_categorical_accuracy: 0.9526 - 910ms/epoch - 6ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9732 - val_loss: 0.2016 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.2082 - val_categorical_accuracy: 0.9558 - 940ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.1415 - categorical_accuracy: 0.9610 - val_loss: 0.2868 - val_categorical_accuracy: 0.9109 - 910ms/epoch - 6ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9767 - val_loss: 0.1893 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.2100 - val_categorical_accuracy: 0.9533 - 918ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.1992 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9859 - val_loss: 0.2024 - val_categorical_accuracy: 0.9571 - 910ms/epoch - 6ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.2058 - val_categorical_accuracy: 0.9557 - 910ms/epoch - 6ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.1997 - val_categorical_accuracy: 0.9572 - 930ms/epoch - 7ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2394 - val_categorical_accuracy: 0.9461 - 920ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.2085 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2203 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2580 - val_categorical_accuracy: 0.9434 - 910ms/epoch - 6ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.1461 - categorical_accuracy: 0.9608 - val_loss: 0.2026 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.2108 - val_categorical_accuracy: 0.9540 - 930ms/epoch - 7ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.2192 - val_categorical_accuracy: 0.9524 - 910ms/epoch - 6ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2131 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2089 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9850 - val_loss: 0.2022 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2080 - val_categorical_accuracy: 0.9560 - 920ms/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2130 - val_categorical_accuracy: 0.9556 - 920ms/epoch - 7ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.2182 - val_categorical_accuracy: 0.9545 - 930ms/epoch - 7ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2109 - val_categorical_accuracy: 0.9546 - 910ms/epoch - 6ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2178 - val_categorical_accuracy: 0.9548 - 910ms/epoch - 6ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9820 - val_loss: 0.2086 - val_categorical_accuracy: 0.9548 - 910ms/epoch - 6ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.2273 - val_categorical_accuracy: 0.9513 - 930ms/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2173 - val_categorical_accuracy: 0.9548 - 910ms/epoch - 6ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.2177 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2093 - val_categorical_accuracy: 0.9572 - 930ms/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9834 - val_loss: 0.1979 - val_categorical_accuracy: 0.9580 - 919ms/epoch - 7ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2084 - val_categorical_accuracy: 0.9547 - 915ms/epoch - 6ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9853 - val_loss: 0.2171 - val_categorical_accuracy: 0.9558 - 930ms/epoch - 7ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2135 - val_categorical_accuracy: 0.9564 - 905ms/epoch - 6ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2169 - val_categorical_accuracy: 0.9552 - 910ms/epoch - 6ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.2279 - val_categorical_accuracy: 0.9538 - 910ms/epoch - 6ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9724 - val_loss: 0.2017 - val_categorical_accuracy: 0.9549 - 930ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.2093 - val_categorical_accuracy: 0.9554 - 919ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.2058 - val_categorical_accuracy: 0.9550 - 910ms/epoch - 6ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.2074 - val_categorical_accuracy: 0.9565 - 920ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2043 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.2396 - val_categorical_accuracy: 0.9485 - 930ms/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9848 - val_loss: 0.2325 - val_categorical_accuracy: 0.9506 - 920ms/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2192 - val_categorical_accuracy: 0.9541 - 930ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2160 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.2127 - val_categorical_accuracy: 0.9557 - 910ms/epoch - 6ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.2215 - val_categorical_accuracy: 0.9547 - 930ms/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9849 - val_loss: 0.2199 - val_categorical_accuracy: 0.9532 - 910ms/epoch - 6ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9858 - val_loss: 0.2258 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9800 - val_loss: 0.2332 - val_categorical_accuracy: 0.9441 - 900ms/epoch - 6ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9836 - val_loss: 0.2025 - val_categorical_accuracy: 0.9583 - 910ms/epoch - 6ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2151 - val_categorical_accuracy: 0.9563 - 900ms/epoch - 6ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2172 - val_categorical_accuracy: 0.9552 - 924ms/epoch - 7ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.2279 - val_categorical_accuracy: 0.9530 - 916ms/epoch - 6ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.2172 - val_categorical_accuracy: 0.9549 - 900ms/epoch - 6ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2247 - val_categorical_accuracy: 0.9546 - 910ms/epoch - 6ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9853 - val_loss: 0.2767 - val_categorical_accuracy: 0.9449 - 920ms/epoch - 7ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0957 - categorical_accuracy: 0.9721 - val_loss: 0.2277 - val_categorical_accuracy: 0.9396 - 910ms/epoch - 6ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1954 - val_categorical_accuracy: 0.9579 - 910ms/epoch - 6ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2100 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2352 - val_categorical_accuracy: 0.9491 - 940ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2245 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2077 - val_categorical_accuracy: 0.9572 - 910ms/epoch - 6ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2125 - val_categorical_accuracy: 0.9559 - 940ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.2350 - val_categorical_accuracy: 0.9484 - 920ms/epoch - 7ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.2233 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2104 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2325 - val_categorical_accuracy: 0.9525 - 920ms/epoch - 7ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.2250 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2186 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9852 - val_loss: 0.2080 - val_categorical_accuracy: 0.9583 - 940ms/epoch - 7ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.2161 - val_categorical_accuracy: 0.9572 - 910ms/epoch - 6ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.2325 - val_categorical_accuracy: 0.9530 - 900ms/epoch - 6ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2236 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2190 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9770 - val_loss: 0.2087 - val_categorical_accuracy: 0.9550 - 910ms/epoch - 6ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.2489 - val_categorical_accuracy: 0.9482 - 920ms/epoch - 7ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2075 - val_categorical_accuracy: 0.9572 - 940ms/epoch - 7ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2163 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2259 - val_categorical_accuracy: 0.9538 - 919ms/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2306 - val_categorical_accuracy: 0.9518 - 930ms/epoch - 7ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9858 - val_loss: 0.2138 - val_categorical_accuracy: 0.9570 - 910ms/epoch - 6ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2183 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.2120 - val_categorical_accuracy: 0.9571 - 910ms/epoch - 6ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2128 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2462 - val_categorical_accuracy: 0.9485 - 904ms/epoch - 6ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9854 - val_loss: 0.2197 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2392 - val_categorical_accuracy: 0.9525 - 950ms/epoch - 7ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2216 - val_categorical_accuracy: 0.9550 - 910ms/epoch - 6ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2429 - val_categorical_accuracy: 0.9500 - 900ms/epoch - 6ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2269 - val_categorical_accuracy: 0.9537 - 900ms/epoch - 6ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.2762 - val_categorical_accuracy: 0.9433 - 920ms/epoch - 7ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0987 - categorical_accuracy: 0.9724 - val_loss: 0.2114 - val_categorical_accuracy: 0.9545 - 910ms/epoch - 6ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.2048 - val_categorical_accuracy: 0.9580 - 900ms/epoch - 6ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2116 - val_categorical_accuracy: 0.9576 - 930ms/epoch - 7ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2205 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2330 - val_categorical_accuracy: 0.9527 - 914ms/epoch - 6ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.2170 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2149 - val_categorical_accuracy: 0.9569 - 924ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2237 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9865 - val_loss: 0.2350 - val_categorical_accuracy: 0.9533 - 904ms/epoch - 6ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.2263 - val_categorical_accuracy: 0.9539 - 926ms/epoch - 7ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2355 - val_categorical_accuracy: 0.9525 - 910ms/epoch - 6ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9859 - val_loss: 0.2483 - val_categorical_accuracy: 0.9500 - 920ms/epoch - 7ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9787 - val_loss: 0.2360 - val_categorical_accuracy: 0.9451 - 930ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9842 - val_loss: 0.2198 - val_categorical_accuracy: 0.9552 - 910ms/epoch - 6ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2084 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.2314 - val_categorical_accuracy: 0.9524 - 900ms/epoch - 6ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2465 - val_categorical_accuracy: 0.9500 - 940ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9858 - val_loss: 0.2212 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.2263 - val_categorical_accuracy: 0.9528 - 1s/epoch - 8ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.2381 - val_categorical_accuracy: 0.9524 - 920ms/epoch - 7ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9858 - val_loss: 0.2158 - val_categorical_accuracy: 0.9583 - 910ms/epoch - 6ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2264 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2294 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2423 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2178 - val_categorical_accuracy: 0.9575 - 914ms/epoch - 6ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.2132 - val_categorical_accuracy: 0.9583 - 910ms/epoch - 6ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2223 - val_categorical_accuracy: 0.9554 - 930ms/epoch - 7ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2143 - val_categorical_accuracy: 0.9582 - 910ms/epoch - 6ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2373 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9721 - val_loss: 0.2161 - val_categorical_accuracy: 0.9543 - 920ms/epoch - 7ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2135 - val_categorical_accuracy: 0.9551 - 905ms/epoch - 6ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2236 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2261 - val_categorical_accuracy: 0.9538 - 920ms/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2145 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2225 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2325 - val_categorical_accuracy: 0.9529 - 910ms/epoch - 6ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9810 - val_loss: 0.2596 - val_categorical_accuracy: 0.9394 - 920ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.2197 - val_categorical_accuracy: 0.9543 - 910ms/epoch - 6ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9848 - val_loss: 0.2145 - val_categorical_accuracy: 0.9565 - 910ms/epoch - 6ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2431 - val_categorical_accuracy: 0.9483 - 920ms/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9861 - val_loss: 0.2191 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2227 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2270 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.2297 - val_categorical_accuracy: 0.9544 - 920ms/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2244 - val_categorical_accuracy: 0.9551 - 920ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2359 - val_categorical_accuracy: 0.9525 - 920ms/epoch - 7ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9847 - val_loss: 0.2203 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2216 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2348 - val_categorical_accuracy: 0.9542 - 920ms/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2232 - val_categorical_accuracy: 0.9565 - 910ms/epoch - 6ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9858 - val_loss: 0.2323 - val_categorical_accuracy: 0.9533 - 925ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2280 - val_categorical_accuracy: 0.9547 - 910ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2407 - val_categorical_accuracy: 0.9536 - 918ms/epoch - 7ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.2534 - val_categorical_accuracy: 0.9490 - 930ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.1271 - categorical_accuracy: 0.9663 - val_loss: 0.2259 - val_categorical_accuracy: 0.9432 - 920ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9835 - val_loss: 0.2063 - val_categorical_accuracy: 0.9567 - 910ms/epoch - 6ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2119 - val_categorical_accuracy: 0.9563 - 904ms/epoch - 6ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2141 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2166 - val_categorical_accuracy: 0.9558 - 904ms/epoch - 6ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2170 - val_categorical_accuracy: 0.9578 - 906ms/epoch - 6ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2200 - val_categorical_accuracy: 0.9555 - 930ms/epoch - 7ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2344 - val_categorical_accuracy: 0.9537 - 920ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2159 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.2210 - val_categorical_accuracy: 0.9562 - 945ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2327 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2283 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.2491 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9761 - val_loss: 0.2042 - val_categorical_accuracy: 0.9550 - 925ms/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2114 - val_categorical_accuracy: 0.9568 - 917ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9864 - val_loss: 0.2230 - val_categorical_accuracy: 0.9556 - 917ms/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2151 - val_categorical_accuracy: 0.9559 - 930ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9865 - val_loss: 0.2289 - val_categorical_accuracy: 0.9549 - 915ms/epoch - 6ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2175 - val_categorical_accuracy: 0.9569 - 914ms/epoch - 6ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2286 - val_categorical_accuracy: 0.9554 - 920ms/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2196 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2251 - val_categorical_accuracy: 0.9553 - 910ms/epoch - 6ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2198 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2326 - val_categorical_accuracy: 0.9544 - 930ms/epoch - 7ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2294 - val_categorical_accuracy: 0.9533 - 924ms/epoch - 7ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2208 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2325 - val_categorical_accuracy: 0.9538 - 934ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9816 - val_loss: 0.2791 - val_categorical_accuracy: 0.9392 - 900ms/epoch - 6ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2269 - val_categorical_accuracy: 0.9559 - 904ms/epoch - 6ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2175 - val_categorical_accuracy: 0.9541 - 906ms/epoch - 6ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9785 - val_loss: 0.3104 - val_categorical_accuracy: 0.9145 - 930ms/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9815 - val_loss: 0.2034 - val_categorical_accuracy: 0.9568 - 904ms/epoch - 6ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2222 - val_categorical_accuracy: 0.9544 - 920ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2236 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2093 - val_categorical_accuracy: 0.9590 - 910ms/epoch - 6ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2195 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2232 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2275 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.2224 - val_categorical_accuracy: 0.9564 - 900ms/epoch - 6ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2199 - val_categorical_accuracy: 0.9557 - 910ms/epoch - 6ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9861 - val_loss: 0.2263 - val_categorical_accuracy: 0.9561 - 940ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2346 - val_categorical_accuracy: 0.9524 - 930ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2163 - val_categorical_accuracy: 0.9579 - 914ms/epoch - 6ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2509 - val_categorical_accuracy: 0.9477 - 930ms/epoch - 7ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.2312 - val_categorical_accuracy: 0.9547 - 910ms/epoch - 6ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2169 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2327 - val_categorical_accuracy: 0.9543 - 921ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2329 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2335 - val_categorical_accuracy: 0.9538 - 900ms/epoch - 6ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2323 - val_categorical_accuracy: 0.9538 - 900ms/epoch - 6ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.1056 - categorical_accuracy: 0.9717 - val_loss: 0.2096 - val_categorical_accuracy: 0.9514 - 915ms/epoch - 6ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.2145 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2192 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2287 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2152 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9865 - val_loss: 0.2222 - val_categorical_accuracy: 0.9570 - 924ms/epoch - 7ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.2299 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2246 - val_categorical_accuracy: 0.9574 - 924ms/epoch - 7ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2227 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2369 - val_categorical_accuracy: 0.9526 - 914ms/epoch - 6ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2450 - val_categorical_accuracy: 0.9513 - 920ms/epoch - 7ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2264 - val_categorical_accuracy: 0.9567 - 914ms/epoch - 6ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9866 - val_loss: 0.2289 - val_categorical_accuracy: 0.9566 - 910ms/epoch - 6ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2348 - val_categorical_accuracy: 0.9553 - 918ms/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2377 - val_categorical_accuracy: 0.9536 - 930ms/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2319 - val_categorical_accuracy: 0.9548 - 914ms/epoch - 6ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2918 - val_categorical_accuracy: 0.9434 - 916ms/epoch - 6ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.2369 - val_categorical_accuracy: 0.9528 - 930ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9842 - val_loss: 0.2452 - val_categorical_accuracy: 0.9519 - 910ms/epoch - 6ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2343 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2343 - val_categorical_accuracy: 0.9555 - 900ms/epoch - 6ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2328 - val_categorical_accuracy: 0.9542 - 920ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9806 - val_loss: 0.2179 - val_categorical_accuracy: 0.9571 - 904ms/epoch - 6ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9773 - val_loss: 0.2114 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.2137 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2084 - val_categorical_accuracy: 0.9592 - 920ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2202 - val_categorical_accuracy: 0.9565 - 930ms/epoch - 7ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2430 - val_categorical_accuracy: 0.9515 - 920ms/epoch - 7ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.2444 - val_categorical_accuracy: 0.9495 - 930ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2195 - val_categorical_accuracy: 0.9561 - 904ms/epoch - 6ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2246 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2379 - val_categorical_accuracy: 0.9522 - 925ms/epoch - 7ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.3021 - val_categorical_accuracy: 0.9381 - 914ms/epoch - 6ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2265 - val_categorical_accuracy: 0.9555 - 920ms/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2271 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2584 - val_categorical_accuracy: 0.9492 - 914ms/epoch - 6ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0969 - categorical_accuracy: 0.9727 - val_loss: 0.2264 - val_categorical_accuracy: 0.9467 - 910ms/epoch - 6ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.2038 - val_categorical_accuracy: 0.9582 - 904ms/epoch - 6ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2260 - val_categorical_accuracy: 0.9544 - 930ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2161 - val_categorical_accuracy: 0.9567 - 924ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2320 - val_categorical_accuracy: 0.9541 - 906ms/epoch - 6ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2578 - val_categorical_accuracy: 0.9477 - 940ms/epoch - 7ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.2240 - val_categorical_accuracy: 0.9572 - 935ms/epoch - 7ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2376 - val_categorical_accuracy: 0.9533 - 910ms/epoch - 6ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2231 - val_categorical_accuracy: 0.9569 - 914ms/epoch - 6ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2278 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2278 - val_categorical_accuracy: 0.9552 - 915ms/epoch - 6ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2370 - val_categorical_accuracy: 0.9550 - 920ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2291 - val_categorical_accuracy: 0.9568 - 919ms/epoch - 7ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2364 - val_categorical_accuracy: 0.9545 - 911ms/epoch - 6ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2415 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9864 - val_loss: 0.2310 - val_categorical_accuracy: 0.9556 - 930ms/epoch - 7ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2376 - val_categorical_accuracy: 0.9558 - 924ms/epoch - 7ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9749 - val_loss: 0.2212 - val_categorical_accuracy: 0.9482 - 916ms/epoch - 6ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.2167 - val_categorical_accuracy: 0.9566 - 910ms/epoch - 6ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2238 - val_categorical_accuracy: 0.9551 - 924ms/epoch - 7ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2318 - val_categorical_accuracy: 0.9559 - 910ms/epoch - 6ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9858 - val_loss: 0.2227 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2348 - val_categorical_accuracy: 0.9549 - 930ms/epoch - 7ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2230 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2320 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2304 - val_categorical_accuracy: 0.9552 - 924ms/epoch - 7ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2204 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2305 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2550 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2337 - val_categorical_accuracy: 0.9553 - 940ms/epoch - 7ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2266 - val_categorical_accuracy: 0.9572 - 924ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2234 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2275 - val_categorical_accuracy: 0.9572 - 914ms/epoch - 6ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2348 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2295 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2265 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2368 - val_categorical_accuracy: 0.9551 - 930ms/epoch - 7ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9871 - val_loss: 0.2683 - val_categorical_accuracy: 0.9466 - 910ms/epoch - 6ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2318 - val_categorical_accuracy: 0.9558 - 914ms/epoch - 6ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2325 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9660 - val_loss: 0.2171 - val_categorical_accuracy: 0.9535 - 920ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2200 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2218 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2189 - val_categorical_accuracy: 0.9578 - 922ms/epoch - 7ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2216 - val_categorical_accuracy: 0.9589 - 910ms/epoch - 6ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2367 - val_categorical_accuracy: 0.9543 - 925ms/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2388 - val_categorical_accuracy: 0.9542 - 930ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2304 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2303 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2248 - val_categorical_accuracy: 0.9578 - 925ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2755 - val_categorical_accuracy: 0.9471 - 920ms/epoch - 7ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9748 - val_loss: 0.2115 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2215 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2231 - val_categorical_accuracy: 0.9565 - 944ms/epoch - 7ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2261 - val_categorical_accuracy: 0.9549 - 916ms/epoch - 6ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2222 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9871 - val_loss: 0.2243 - val_categorical_accuracy: 0.9586 - 934ms/epoch - 7ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2335 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2294 - val_categorical_accuracy: 0.9558 - 921ms/epoch - 7ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.2257 - val_categorical_accuracy: 0.9568 - 927ms/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2388 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2321 - val_categorical_accuracy: 0.9570 - 910ms/epoch - 6ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.3657 - val_categorical_accuracy: 0.9293 - 914ms/epoch - 6ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.2191 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2344 - val_categorical_accuracy: 0.9575 - 915ms/epoch - 6ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2281 - val_categorical_accuracy: 0.9564 - 919ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2322 - val_categorical_accuracy: 0.9577 - 919ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2477 - val_categorical_accuracy: 0.9540 - 910ms/epoch - 6ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2438 - val_categorical_accuracy: 0.9553 - 910ms/epoch - 6ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2567 - val_categorical_accuracy: 0.9519 - 914ms/epoch - 6ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2599 - val_categorical_accuracy: 0.9510 - 930ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2355 - val_categorical_accuracy: 0.9556 - 910ms/epoch - 6ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2264 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2560 - val_categorical_accuracy: 0.9525 - 934ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.3475 - val_categorical_accuracy: 0.9323 - 930ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9839 - val_loss: 0.2307 - val_categorical_accuracy: 0.9567 - 909ms/epoch - 6ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2383 - val_categorical_accuracy: 0.9554 - 911ms/epoch - 6ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2353 - val_categorical_accuracy: 0.9556 - 924ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2272 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9869 - val_loss: 0.2586 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2297 - val_categorical_accuracy: 0.9572 - 934ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2331 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2362 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2277 - val_categorical_accuracy: 0.9570 - 930ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2326 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2375 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2405 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2382 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2370 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2588 - val_categorical_accuracy: 0.9514 - 910ms/epoch - 6ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9861 - val_loss: 0.2447 - val_categorical_accuracy: 0.9550 - 941ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9862 - val_loss: 0.2416 - val_categorical_accuracy: 0.9552 - 918ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2371 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2313 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2335 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.2260 - val_categorical_accuracy: 0.9571 - 910ms/epoch - 6ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2311 - val_categorical_accuracy: 0.9582 - 910ms/epoch - 6ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.2339 - val_categorical_accuracy: 0.9573 - 925ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2417 - val_categorical_accuracy: 0.9553 - 910ms/epoch - 6ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2558 - val_categorical_accuracy: 0.9514 - 900ms/epoch - 6ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9779 - val_loss: 0.2390 - val_categorical_accuracy: 0.9464 - 920ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.2345 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2335 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2351 - val_categorical_accuracy: 0.9540 - 904ms/epoch - 6ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2362 - val_categorical_accuracy: 0.9574 - 926ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2389 - val_categorical_accuracy: 0.9547 - 910ms/epoch - 6ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2322 - val_categorical_accuracy: 0.9570 - 930ms/epoch - 7ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2361 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2308 - val_categorical_accuracy: 0.9574 - 924ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2374 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2412 - val_categorical_accuracy: 0.9546 - 915ms/epoch - 6ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9856 - val_loss: 0.2565 - val_categorical_accuracy: 0.9519 - 930ms/epoch - 7ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2301 - val_categorical_accuracy: 0.9574 - 914ms/epoch - 6ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9856 - val_loss: 0.7518 - val_categorical_accuracy: 0.8663 - 910ms/epoch - 6ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9792 - val_loss: 0.2225 - val_categorical_accuracy: 0.9560 - 925ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2329 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2267 - val_categorical_accuracy: 0.9578 - 910ms/epoch - 6ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2343 - val_categorical_accuracy: 0.9549 - 910ms/epoch - 6ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2305 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.2357 - val_categorical_accuracy: 0.9544 - 914ms/epoch - 6ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2367 - val_categorical_accuracy: 0.9553 - 910ms/epoch - 6ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2303 - val_categorical_accuracy: 0.9586 - 924ms/epoch - 7ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2328 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2376 - val_categorical_accuracy: 0.9548 - 910ms/epoch - 6ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2345 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2304 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2520 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2344 - val_categorical_accuracy: 0.9567 - 895ms/epoch - 6ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2411 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.1207 - categorical_accuracy: 0.9675 - val_loss: 0.2192 - val_categorical_accuracy: 0.9553 - 910ms/epoch - 6ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9875 - val_loss: 0.2255 - val_categorical_accuracy: 0.9538 - 900ms/epoch - 6ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2213 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.2243 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2389 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2316 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2275 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2340 - val_categorical_accuracy: 0.9573 - 914ms/epoch - 6ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2279 - val_categorical_accuracy: 0.9577 - 910ms/epoch - 6ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9870 - val_loss: 0.2350 - val_categorical_accuracy: 0.9559 - 930ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2467 - val_categorical_accuracy: 0.9542 - 920ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2473 - val_categorical_accuracy: 0.9533 - 904ms/epoch - 6ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2565 - val_categorical_accuracy: 0.9512 - 924ms/epoch - 7ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2417 - val_categorical_accuracy: 0.9555 - 920ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2551 - val_categorical_accuracy: 0.9499 - 920ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2453 - val_categorical_accuracy: 0.9550 - 920ms/epoch - 7ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2407 - val_categorical_accuracy: 0.9549 - 940ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9796 - val_loss: 0.2266 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2463 - val_categorical_accuracy: 0.9527 - 914ms/epoch - 6ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2510 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2353 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2443 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2403 - val_categorical_accuracy: 0.9563 - 904ms/epoch - 6ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2327 - val_categorical_accuracy: 0.9578 - 926ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2259 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9875 - val_loss: 0.2552 - val_categorical_accuracy: 0.9548 - 914ms/epoch - 6ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2547 - val_categorical_accuracy: 0.9523 - 950ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2411 - val_categorical_accuracy: 0.9571 - 924ms/epoch - 7ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9740 - val_loss: 0.2523 - val_categorical_accuracy: 0.9441 - 910ms/epoch - 6ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2330 - val_categorical_accuracy: 0.9541 - 914ms/epoch - 6ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2253 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2250 - val_categorical_accuracy: 0.9591 - 914ms/epoch - 6ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2351 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2348 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2295 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2459 - val_categorical_accuracy: 0.9557 - 924ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2376 - val_categorical_accuracy: 0.9561 - 926ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9873 - val_loss: 0.2397 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2421 - val_categorical_accuracy: 0.9567 - 910ms/epoch - 6ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.2740 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2415 - val_categorical_accuracy: 0.9567 - 934ms/epoch - 7ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9845 - val_loss: 0.2356 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2301 - val_categorical_accuracy: 0.9573 - 910ms/epoch - 6ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2414 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2417 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2368 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2482 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2450 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2433 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2495 - val_categorical_accuracy: 0.9542 - 910ms/epoch - 6ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2421 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2423 - val_categorical_accuracy: 0.9577 - 924ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0889 - categorical_accuracy: 0.9758 - val_loss: 0.2899 - val_categorical_accuracy: 0.9199 - 920ms/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9817 - val_loss: 0.2271 - val_categorical_accuracy: 0.9548 - 930ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2343 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.2261 - val_categorical_accuracy: 0.9568 - 914ms/epoch - 6ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2382 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2286 - val_categorical_accuracy: 0.9592 - 935ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2427 - val_categorical_accuracy: 0.9544 - 910ms/epoch - 6ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2466 - val_categorical_accuracy: 0.9550 - 904ms/epoch - 6ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2448 - val_categorical_accuracy: 0.9550 - 931ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2371 - val_categorical_accuracy: 0.9566 - 907ms/epoch - 6ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2379 - val_categorical_accuracy: 0.9573 - 915ms/epoch - 6ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2666 - val_categorical_accuracy: 0.9511 - 914ms/epoch - 6ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2487 - val_categorical_accuracy: 0.9537 - 924ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2561 - val_categorical_accuracy: 0.9520 - 900ms/epoch - 6ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.3316 - val_categorical_accuracy: 0.9346 - 910ms/epoch - 6ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2344 - val_categorical_accuracy: 0.9567 - 940ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2483 - val_categorical_accuracy: 0.9542 - 944ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2392 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9879 - val_loss: 0.2476 - val_categorical_accuracy: 0.9566 - 934ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2604 - val_categorical_accuracy: 0.9536 - 920ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2489 - val_categorical_accuracy: 0.9560 - 914ms/epoch - 6ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2543 - val_categorical_accuracy: 0.9544 - 910ms/epoch - 6ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.3321 - val_categorical_accuracy: 0.9363 - 930ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9835 - val_loss: 0.2380 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2393 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2334 - val_categorical_accuracy: 0.9579 - 938ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.2375 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2466 - val_categorical_accuracy: 0.9550 - 910ms/epoch - 6ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2474 - val_categorical_accuracy: 0.9553 - 920ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2452 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2424 - val_categorical_accuracy: 0.9551 - 920ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2579 - val_categorical_accuracy: 0.9539 - 910ms/epoch - 6ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2672 - val_categorical_accuracy: 0.9521 - 930ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2455 - val_categorical_accuracy: 0.9557 - 910ms/epoch - 6ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2428 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2490 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2437 - val_categorical_accuracy: 0.9577 - 910ms/epoch - 6ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2951 - val_categorical_accuracy: 0.9472 - 910ms/epoch - 6ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2501 - val_categorical_accuracy: 0.9558 - 914ms/epoch - 6ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2405 - val_categorical_accuracy: 0.9572 - 1s/epoch - 8ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2446 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2537 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2515 - val_categorical_accuracy: 0.9568 - 940ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2463 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9876 - val_loss: 0.2485 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2543 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2506 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2492 - val_categorical_accuracy: 0.9559 - 910ms/epoch - 6ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2653 - val_categorical_accuracy: 0.9536 - 920ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2565 - val_categorical_accuracy: 0.9544 - 930ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2574 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2522 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.1533 - categorical_accuracy: 0.9593 - val_loss: 0.2248 - val_categorical_accuracy: 0.9560 - 930ms/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2571 - val_categorical_accuracy: 0.9507 - 920ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2387 - val_categorical_accuracy: 0.9553 - 920ms/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2356 - val_categorical_accuracy: 0.9575 - 930ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9886 - val_loss: 0.2811 - val_categorical_accuracy: 0.9501 - 930ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2667 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2493 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2516 - val_categorical_accuracy: 0.9556 - 940ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2510 - val_categorical_accuracy: 0.9555 - 910ms/epoch - 6ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2399 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2755 - val_categorical_accuracy: 0.9508 - 940ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2444 - val_categorical_accuracy: 0.9573 - 910ms/epoch - 6ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2483 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2855 - val_categorical_accuracy: 0.9497 - 920ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2631 - val_categorical_accuracy: 0.9529 - 930ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2541 - val_categorical_accuracy: 0.9544 - 900ms/epoch - 6ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2511 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2611 - val_categorical_accuracy: 0.9547 - 920ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2532 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2560 - val_categorical_accuracy: 0.9526 - 910ms/epoch - 6ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2435 - val_categorical_accuracy: 0.9579 - 910ms/epoch - 6ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2562 - val_categorical_accuracy: 0.9561 - 918ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2434 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2543 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2575 - val_categorical_accuracy: 0.9553 - 924ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2503 - val_categorical_accuracy: 0.9573 - 910ms/epoch - 6ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2673 - val_categorical_accuracy: 0.9528 - 910ms/epoch - 6ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2520 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2569 - val_categorical_accuracy: 0.9550 - 910ms/epoch - 6ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2640 - val_categorical_accuracy: 0.9534 - 900ms/epoch - 6ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2504 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2505 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.2559 - val_categorical_accuracy: 0.9575 - 920ms/epoch - 7ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2778 - val_categorical_accuracy: 0.9501 - 930ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2572 - val_categorical_accuracy: 0.9556 - 930ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.3835 - val_categorical_accuracy: 0.9283 - 900ms/epoch - 6ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0935 - categorical_accuracy: 0.9741 - val_loss: 0.2449 - val_categorical_accuracy: 0.9532 - 904ms/epoch - 6ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2359 - val_categorical_accuracy: 0.9581 - 920ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.3428 - val_categorical_accuracy: 0.9364 - 939ms/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9821 - val_loss: 0.2374 - val_categorical_accuracy: 0.9572 - 910ms/epoch - 6ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2385 - val_categorical_accuracy: 0.9567 - 904ms/epoch - 6ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2494 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2452 - val_categorical_accuracy: 0.9574 - 904ms/epoch - 6ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9849 - val_loss: 0.2313 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2408 - val_categorical_accuracy: 0.9563 - 900ms/epoch - 6ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2595 - val_categorical_accuracy: 0.9507 - 924ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2346 - val_categorical_accuracy: 0.9566 - 900ms/epoch - 6ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2449 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2376 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2565 - val_categorical_accuracy: 0.9539 - 910ms/epoch - 6ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2423 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2802 - val_categorical_accuracy: 0.9507 - 930ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2463 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2711 - val_categorical_accuracy: 0.9501 - 930ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2399 - val_categorical_accuracy: 0.9590 - 910ms/epoch - 6ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2472 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2493 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2472 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2578 - val_categorical_accuracy: 0.9555 - 930ms/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2453 - val_categorical_accuracy: 0.9583 - 910ms/epoch - 6ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2594 - val_categorical_accuracy: 0.9537 - 920ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2648 - val_categorical_accuracy: 0.9550 - 910ms/epoch - 6ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2538 - val_categorical_accuracy: 0.9561 - 914ms/epoch - 6ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2482 - val_categorical_accuracy: 0.9581 - 900ms/epoch - 6ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2813 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9798 - val_loss: 0.2344 - val_categorical_accuracy: 0.9572 - 930ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2395 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2434 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2630 - val_categorical_accuracy: 0.9529 - 900ms/epoch - 6ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2418 - val_categorical_accuracy: 0.9576 - 905ms/epoch - 6ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2713 - val_categorical_accuracy: 0.9501 - 900ms/epoch - 6ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9872 - val_loss: 0.2495 - val_categorical_accuracy: 0.9555 - 904ms/epoch - 6ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2415 - val_categorical_accuracy: 0.9598 - 930ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2683 - val_categorical_accuracy: 0.9514 - 920ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2798 - val_categorical_accuracy: 0.9505 - 910ms/epoch - 6ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2650 - val_categorical_accuracy: 0.9548 - 914ms/epoch - 6ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2452 - val_categorical_accuracy: 0.9591 - 900ms/epoch - 6ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2453 - val_categorical_accuracy: 0.9584 - 910ms/epoch - 6ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2595 - val_categorical_accuracy: 0.9522 - 920ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2744 - val_categorical_accuracy: 0.9525 - 930ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2700 - val_categorical_accuracy: 0.9520 - 912ms/epoch - 6ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2571 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2598 - val_categorical_accuracy: 0.9535 - 920ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2620 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.3111 - val_categorical_accuracy: 0.9445 - 914ms/epoch - 6ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2612 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2537 - val_categorical_accuracy: 0.9565 - 925ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2561 - val_categorical_accuracy: 0.9563 - 915ms/epoch - 6ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2590 - val_categorical_accuracy: 0.9543 - 921ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2615 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2609 - val_categorical_accuracy: 0.9557 - 930ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2467 - val_categorical_accuracy: 0.9590 - 910ms/epoch - 6ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2550 - val_categorical_accuracy: 0.9566 - 910ms/epoch - 6ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2555 - val_categorical_accuracy: 0.9541 - 905ms/epoch - 6ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2587 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2541 - val_categorical_accuracy: 0.9560 - 915ms/epoch - 6ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2664 - val_categorical_accuracy: 0.9531 - 930ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2548 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2615 - val_categorical_accuracy: 0.9559 - 900ms/epoch - 6ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2669 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2622 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2534 - val_categorical_accuracy: 0.9572 - 1s/epoch - 8ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2657 - val_categorical_accuracy: 0.9548 - 910ms/epoch - 6ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2567 - val_categorical_accuracy: 0.9561 - 929ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2579 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2613 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2581 - val_categorical_accuracy: 0.9567 - 934ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2558 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2898 - val_categorical_accuracy: 0.9483 - 910ms/epoch - 6ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2604 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2582 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9855 - val_loss: 0.2657 - val_categorical_accuracy: 0.9551 - 920ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2504 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9880 - val_loss: 0.2520 - val_categorical_accuracy: 0.9561 - 930ms/epoch - 7ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9778 - val_loss: 0.2690 - val_categorical_accuracy: 0.9357 - 920ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.2369 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2398 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2473 - val_categorical_accuracy: 0.9561 - 910ms/epoch - 6ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2542 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2436 - val_categorical_accuracy: 0.9580 - 910ms/epoch - 6ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2575 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2659 - val_categorical_accuracy: 0.9546 - 904ms/epoch - 6ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2465 - val_categorical_accuracy: 0.9580 - 910ms/epoch - 6ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2506 - val_categorical_accuracy: 0.9583 - 924ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2612 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2603 - val_categorical_accuracy: 0.9553 - 914ms/epoch - 6ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2530 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2500 - val_categorical_accuracy: 0.9588 - 904ms/epoch - 6ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2931 - val_categorical_accuracy: 0.9504 - 910ms/epoch - 6ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2638 - val_categorical_accuracy: 0.9536 - 900ms/epoch - 6ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9884 - val_loss: 0.2646 - val_categorical_accuracy: 0.9558 - 925ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.3167 - val_categorical_accuracy: 0.9469 - 910ms/epoch - 6ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0939 - categorical_accuracy: 0.9744 - val_loss: 0.2368 - val_categorical_accuracy: 0.9565 - 930ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2426 - val_categorical_accuracy: 0.9570 - 940ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2499 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2562 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2387 - val_categorical_accuracy: 0.9594 - 918ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2522 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2496 - val_categorical_accuracy: 0.9571 - 910ms/epoch - 6ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2608 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2519 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2588 - val_categorical_accuracy: 0.9551 - 910ms/epoch - 6ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2488 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2584 - val_categorical_accuracy: 0.9567 - 910ms/epoch - 6ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2651 - val_categorical_accuracy: 0.9555 - 930ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2488 - val_categorical_accuracy: 0.9586 - 910ms/epoch - 6ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2633 - val_categorical_accuracy: 0.9549 - 910ms/epoch - 6ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2901 - val_categorical_accuracy: 0.9496 - 934ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2520 - val_categorical_accuracy: 0.9583 - 910ms/epoch - 6ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2646 - val_categorical_accuracy: 0.9558 - 910ms/epoch - 6ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2652 - val_categorical_accuracy: 0.9524 - 920ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2582 - val_categorical_accuracy: 0.9544 - 920ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2588 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2491 - val_categorical_accuracy: 0.9575 - 924ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2609 - val_categorical_accuracy: 0.9574 - 926ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2673 - val_categorical_accuracy: 0.9544 - 904ms/epoch - 6ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2612 - val_categorical_accuracy: 0.9567 - 900ms/epoch - 6ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2694 - val_categorical_accuracy: 0.9538 - 920ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2675 - val_categorical_accuracy: 0.9536 - 910ms/epoch - 6ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2678 - val_categorical_accuracy: 0.9533 - 920ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2612 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2559 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2690 - val_categorical_accuracy: 0.9550 - 914ms/epoch - 6ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.3283 - val_categorical_accuracy: 0.9443 - 910ms/epoch - 6ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.1237 - categorical_accuracy: 0.9681 - val_loss: 0.2343 - val_categorical_accuracy: 0.9562 - 924ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2751 - val_categorical_accuracy: 0.9521 - 916ms/epoch - 6ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2455 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2615 - val_categorical_accuracy: 0.9548 - 910ms/epoch - 6ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2546 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2462 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2854 - val_categorical_accuracy: 0.9470 - 910ms/epoch - 6ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2632 - val_categorical_accuracy: 0.9558 - 940ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2529 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9858 - val_loss: 0.2594 - val_categorical_accuracy: 0.9528 - 920ms/epoch - 7ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2593 - val_categorical_accuracy: 0.9562 - 930ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2671 - val_categorical_accuracy: 0.9538 - 904ms/epoch - 6ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2510 - val_categorical_accuracy: 0.9567 - 900ms/epoch - 6ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2532 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2495 - val_categorical_accuracy: 0.9579 - 930ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2508 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2534 - val_categorical_accuracy: 0.9579 - 910ms/epoch - 6ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2590 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.3112 - val_categorical_accuracy: 0.9492 - 920ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2743 - val_categorical_accuracy: 0.9525 - 910ms/epoch - 6ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2559 - val_categorical_accuracy: 0.9579 - 918ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2588 - val_categorical_accuracy: 0.9562 - 930ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2540 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2760 - val_categorical_accuracy: 0.9530 - 920ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2630 - val_categorical_accuracy: 0.9563 - 940ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2642 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2639 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9868 - val_loss: 0.2521 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2719 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2576 - val_categorical_accuracy: 0.9583 - 900ms/epoch - 6ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2544 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2506 - val_categorical_accuracy: 0.9586 - 944ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2696 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2643 - val_categorical_accuracy: 0.9572 - 925ms/epoch - 7ms/step
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2662 - val_categorical_accuracy: 0.9556 - 920ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9895 - val_loss: 0.2673 - val_categorical_accuracy: 0.9540 - 914ms/epoch - 6ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2560 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2642 - val_categorical_accuracy: 0.9571 - 928ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2683 - val_categorical_accuracy: 0.9566 - 930ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2594 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2590 - val_categorical_accuracy: 0.9584 - 924ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2678 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2749 - val_categorical_accuracy: 0.9541 - 914ms/epoch - 6ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2656 - val_categorical_accuracy: 0.9555 - 920ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2637 - val_categorical_accuracy: 0.9569 - 920ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2772 - val_categorical_accuracy: 0.9528 - 920ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2721 - val_categorical_accuracy: 0.9526 - 910ms/epoch - 6ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0732 - categorical_accuracy: 0.9781 - val_loss: 0.2497 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2515 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2681 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2649 - val_categorical_accuracy: 0.9537 - 910ms/epoch - 6ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2680 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2505 - val_categorical_accuracy: 0.9584 - 920ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2481 - val_categorical_accuracy: 0.9590 - 911ms/epoch - 6ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2579 - val_categorical_accuracy: 0.9583 - 917ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2784 - val_categorical_accuracy: 0.9537 - 935ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2574 - val_categorical_accuracy: 0.9576 - 914ms/epoch - 6ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2492 - val_categorical_accuracy: 0.9573 - 915ms/epoch - 6ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2707 - val_categorical_accuracy: 0.9553 - 940ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2569 - val_categorical_accuracy: 0.9583 - 914ms/epoch - 6ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.3149 - val_categorical_accuracy: 0.9469 - 901ms/epoch - 6ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.1059 - categorical_accuracy: 0.9716 - val_loss: 0.2503 - val_categorical_accuracy: 0.9545 - 904ms/epoch - 6ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2524 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2423 - val_categorical_accuracy: 0.9596 - 910ms/epoch - 6ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2648 - val_categorical_accuracy: 0.9555 - 902ms/epoch - 6ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2490 - val_categorical_accuracy: 0.9578 - 940ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2500 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2505 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.3020 - val_categorical_accuracy: 0.9488 - 914ms/epoch - 6ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2536 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2634 - val_categorical_accuracy: 0.9547 - 908ms/epoch - 6ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2700 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2637 - val_categorical_accuracy: 0.9548 - 924ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2545 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2570 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2701 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2717 - val_categorical_accuracy: 0.9563 - 910ms/epoch - 6ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2620 - val_categorical_accuracy: 0.9565 - 920ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2641 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2670 - val_categorical_accuracy: 0.9583 - 940ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2663 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2666 - val_categorical_accuracy: 0.9543 - 924ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2720 - val_categorical_accuracy: 0.9535 - 940ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2688 - val_categorical_accuracy: 0.9559 - 914ms/epoch - 6ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2659 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0868 - categorical_accuracy: 0.9756 - val_loss: 0.2436 - val_categorical_accuracy: 0.9558 - 904ms/epoch - 6ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9884 - val_loss: 0.2464 - val_categorical_accuracy: 0.9564 - 920ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2513 - val_categorical_accuracy: 0.9566 - 904ms/epoch - 6ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2563 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.4271 - val_categorical_accuracy: 0.9296 - 930ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9796 - val_loss: 0.2517 - val_categorical_accuracy: 0.9538 - 920ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2417 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2536 - val_categorical_accuracy: 0.9562 - 930ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2489 - val_categorical_accuracy: 0.9579 - 910ms/epoch - 6ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2635 - val_categorical_accuracy: 0.9556 - 910ms/epoch - 6ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2637 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2556 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9856 - val_loss: 0.2497 - val_categorical_accuracy: 0.9565 - 920ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2851 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2539 - val_categorical_accuracy: 0.9570 - 930ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2537 - val_categorical_accuracy: 0.9579 - 910ms/epoch - 6ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2597 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2577 - val_categorical_accuracy: 0.9580 - 910ms/epoch - 6ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2626 - val_categorical_accuracy: 0.9573 - 919ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2675 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2697 - val_categorical_accuracy: 0.9562 - 910ms/epoch - 6ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2619 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2676 - val_categorical_accuracy: 0.9572 - 904ms/epoch - 6ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2693 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2828 - val_categorical_accuracy: 0.9499 - 914ms/epoch - 6ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2577 - val_categorical_accuracy: 0.9570 - 910ms/epoch - 6ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2544 - val_categorical_accuracy: 0.9582 - 910ms/epoch - 6ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2631 - val_categorical_accuracy: 0.9580 - 910ms/epoch - 6ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2712 - val_categorical_accuracy: 0.9563 - 940ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2631 - val_categorical_accuracy: 0.9574 - 924ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2746 - val_categorical_accuracy: 0.9534 - 910ms/epoch - 6ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2644 - val_categorical_accuracy: 0.9586 - 924ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2614 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2614 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.1004 - categorical_accuracy: 0.9729 - val_loss: 0.2560 - val_categorical_accuracy: 0.9434 - 910ms/epoch - 6ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2514 - val_categorical_accuracy: 0.9547 - 930ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2600 - val_categorical_accuracy: 0.9562 - 914ms/epoch - 6ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2504 - val_categorical_accuracy: 0.9571 - 910ms/epoch - 6ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2574 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2596 - val_categorical_accuracy: 0.9573 - 914ms/epoch - 6ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2539 - val_categorical_accuracy: 0.9579 - 896ms/epoch - 6ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2567 - val_categorical_accuracy: 0.9581 - 910ms/epoch - 6ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2504 - val_categorical_accuracy: 0.9584 - 910ms/epoch - 6ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9898 - val_loss: 0.2650 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2730 - val_categorical_accuracy: 0.9548 - 904ms/epoch - 6ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2598 - val_categorical_accuracy: 0.9577 - 910ms/epoch - 6ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.1494 - categorical_accuracy: 0.9611 - val_loss: 0.2464 - val_categorical_accuracy: 0.9438 - 914ms/epoch - 6ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.2340 - val_categorical_accuracy: 0.9553 - 900ms/epoch - 6ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2420 - val_categorical_accuracy: 0.9556 - 920ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2516 - val_categorical_accuracy: 0.9562 - 900ms/epoch - 6ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2520 - val_categorical_accuracy: 0.9567 - 908ms/epoch - 6ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2425 - val_categorical_accuracy: 0.9586 - 906ms/epoch - 6ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2479 - val_categorical_accuracy: 0.9579 - 930ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2582 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2718 - val_categorical_accuracy: 0.9523 - 910ms/epoch - 6ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.3672 - val_categorical_accuracy: 0.9334 - 920ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9765 - val_loss: 0.2355 - val_categorical_accuracy: 0.9575 - 910ms/epoch - 6ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9894 - val_loss: 0.2354 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2517 - val_categorical_accuracy: 0.9565 - 920ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2743 - val_categorical_accuracy: 0.9488 - 944ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2519 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2495 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2499 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2583 - val_categorical_accuracy: 0.9549 - 934ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2506 - val_categorical_accuracy: 0.9589 - 906ms/epoch - 6ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2483 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2488 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2583 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2681 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2568 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2620 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9888 - val_loss: 0.2680 - val_categorical_accuracy: 0.9585 - 900ms/epoch - 6ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2585 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2614 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2938 - val_categorical_accuracy: 0.9489 - 910ms/epoch - 6ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2590 - val_categorical_accuracy: 0.9587 - 910ms/epoch - 6ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2610 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.1404 - categorical_accuracy: 0.9630 - val_loss: 0.2219 - val_categorical_accuracy: 0.9560 - 910ms/epoch - 6ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9886 - val_loss: 0.2361 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2480 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9898 - val_loss: 0.2467 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2505 - val_categorical_accuracy: 0.9573 - 914ms/epoch - 6ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2711 - val_categorical_accuracy: 0.9527 - 900ms/epoch - 6ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2471 - val_categorical_accuracy: 0.9566 - 914ms/epoch - 6ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2570 - val_categorical_accuracy: 0.9575 - 910ms/epoch - 6ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2575 - val_categorical_accuracy: 0.9556 - 914ms/epoch - 6ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2522 - val_categorical_accuracy: 0.9567 - 930ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2628 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2579 - val_categorical_accuracy: 0.9576 - 908ms/epoch - 6ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2571 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2519 - val_categorical_accuracy: 0.9577 - 904ms/epoch - 6ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2725 - val_categorical_accuracy: 0.9530 - 900ms/epoch - 6ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2720 - val_categorical_accuracy: 0.9553 - 904ms/epoch - 6ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9896 - val_loss: 0.2600 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2806 - val_categorical_accuracy: 0.9500 - 904ms/epoch - 6ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2634 - val_categorical_accuracy: 0.9554 - 910ms/epoch - 6ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2615 - val_categorical_accuracy: 0.9576 - 930ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2542 - val_categorical_accuracy: 0.9595 - 910ms/epoch - 6ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2570 - val_categorical_accuracy: 0.9584 - 916ms/epoch - 6ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2677 - val_categorical_accuracy: 0.9554 - 920ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2685 - val_categorical_accuracy: 0.9566 - 965ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2722 - val_categorical_accuracy: 0.9553 - 913ms/epoch - 6ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2684 - val_categorical_accuracy: 0.9560 - 909ms/epoch - 6ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2558 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2627 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2711 - val_categorical_accuracy: 0.9550 - 920ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.2626 - val_categorical_accuracy: 0.9566 - 920ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2686 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2683 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2671 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2627 - val_categorical_accuracy: 0.9581 - 940ms/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2614 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2689 - val_categorical_accuracy: 0.9565 - 910ms/epoch - 6ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2681 - val_categorical_accuracy: 0.9555 - 930ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2709 - val_categorical_accuracy: 0.9571 - 900ms/epoch - 6ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2684 - val_categorical_accuracy: 0.9596 - 910ms/epoch - 6ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2759 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2626 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9889 - val_loss: 0.2685 - val_categorical_accuracy: 0.9577 - 910ms/epoch - 6ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2633 - val_categorical_accuracy: 0.9587 - 910ms/epoch - 6ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2685 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2721 - val_categorical_accuracy: 0.9576 - 900ms/epoch - 6ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2697 - val_categorical_accuracy: 0.9583 - 910ms/epoch - 6ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2865 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9806 - val_loss: 0.2597 - val_categorical_accuracy: 0.9501 - 920ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2594 - val_categorical_accuracy: 0.9568 - 910ms/epoch - 6ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2561 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2691 - val_categorical_accuracy: 0.9566 - 920ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2580 - val_categorical_accuracy: 0.9578 - 910ms/epoch - 6ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2679 - val_categorical_accuracy: 0.9567 - 910ms/epoch - 6ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2626 - val_categorical_accuracy: 0.9575 - 920ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9874 - val_loss: 0.2725 - val_categorical_accuracy: 0.9550 - 898ms/epoch - 6ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2869 - val_categorical_accuracy: 0.9503 - 910ms/epoch - 6ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2691 - val_categorical_accuracy: 0.9552 - 911ms/epoch - 6ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2749 - val_categorical_accuracy: 0.9556 - 930ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2661 - val_categorical_accuracy: 0.9564 - 904ms/epoch - 6ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2629 - val_categorical_accuracy: 0.9563 - 916ms/epoch - 6ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9797 - val_loss: 0.2604 - val_categorical_accuracy: 0.9532 - 930ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2859 - val_categorical_accuracy: 0.9506 - 900ms/epoch - 6ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2592 - val_categorical_accuracy: 0.9567 - 910ms/epoch - 6ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9898 - val_loss: 0.2585 - val_categorical_accuracy: 0.9575 - 910ms/epoch - 6ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2597 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2649 - val_categorical_accuracy: 0.9572 - 910ms/epoch - 6ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2902 - val_categorical_accuracy: 0.9527 - 920ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2613 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2631 - val_categorical_accuracy: 0.9569 - 910ms/epoch - 6ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2572 - val_categorical_accuracy: 0.9586 - 904ms/epoch - 6ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2695 - val_categorical_accuracy: 0.9540 - 916ms/epoch - 6ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2806 - val_categorical_accuracy: 0.9534 - 920ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.2787 - val_categorical_accuracy: 0.9563 - 904ms/epoch - 6ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9897 - val_loss: 0.2667 - val_categorical_accuracy: 0.9557 - 910ms/epoch - 6ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2614 - val_categorical_accuracy: 0.9575 - 934ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2744 - val_categorical_accuracy: 0.9546 - 920ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2638 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2722 - val_categorical_accuracy: 0.9569 - 930ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2656 - val_categorical_accuracy: 0.9578 - 914ms/epoch - 6ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2777 - val_categorical_accuracy: 0.9542 - 920ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2685 - val_categorical_accuracy: 0.9574 - 910ms/epoch - 6ms/step
processing fold # 7 
Epoch 1/1500
141/141 - 2s - loss: 1.9591 - categorical_accuracy: 0.2623 - val_loss: 1.7433 - val_categorical_accuracy: 0.3463 - 2s/epoch - 12ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5920 - categorical_accuracy: 0.4064 - val_loss: 1.3180 - val_categorical_accuracy: 0.4878 - 970ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3191 - categorical_accuracy: 0.5010 - val_loss: 1.6767 - val_categorical_accuracy: 0.3954 - 934ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2552 - categorical_accuracy: 0.5376 - val_loss: 1.1437 - val_categorical_accuracy: 0.5597 - 926ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.2463 - categorical_accuracy: 0.5454 - val_loss: 1.0845 - val_categorical_accuracy: 0.5787 - 920ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9608 - categorical_accuracy: 0.6358 - val_loss: 0.8807 - val_categorical_accuracy: 0.6464 - 930ms/epoch - 7ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.9781 - categorical_accuracy: 0.6369 - val_loss: 0.7967 - val_categorical_accuracy: 0.6924 - 920ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 1.1384 - categorical_accuracy: 0.5864 - val_loss: 0.7729 - val_categorical_accuracy: 0.7076 - 920ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7694 - categorical_accuracy: 0.7071 - val_loss: 0.7297 - val_categorical_accuracy: 0.7173 - 1s/epoch - 8ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7043 - categorical_accuracy: 0.7304 - val_loss: 0.6319 - val_categorical_accuracy: 0.7586 - 920ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6713 - categorical_accuracy: 0.7481 - val_loss: 0.5965 - val_categorical_accuracy: 0.7776 - 920ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6255 - categorical_accuracy: 0.7631 - val_loss: 0.6645 - val_categorical_accuracy: 0.7553 - 924ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 1.0455 - categorical_accuracy: 0.6389 - val_loss: 0.6498 - val_categorical_accuracy: 0.7598 - 940ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.8923 - categorical_accuracy: 0.6985 - val_loss: 0.6798 - val_categorical_accuracy: 0.7473 - 924ms/epoch - 7ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5914 - categorical_accuracy: 0.7798 - val_loss: 0.5197 - val_categorical_accuracy: 0.8072 - 930ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5367 - categorical_accuracy: 0.7993 - val_loss: 0.5449 - val_categorical_accuracy: 0.7930 - 930ms/epoch - 7ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5116 - categorical_accuracy: 0.8106 - val_loss: 0.4806 - val_categorical_accuracy: 0.8175 - 930ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4757 - categorical_accuracy: 0.8227 - val_loss: 0.5543 - val_categorical_accuracy: 0.8030 - 915ms/epoch - 6ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4483 - categorical_accuracy: 0.8333 - val_loss: 0.5219 - val_categorical_accuracy: 0.8132 - 930ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.5504 - categorical_accuracy: 0.8114 - val_loss: 0.4026 - val_categorical_accuracy: 0.8573 - 944ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4254 - categorical_accuracy: 0.8447 - val_loss: 0.3733 - val_categorical_accuracy: 0.8669 - 936ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4224 - categorical_accuracy: 0.8490 - val_loss: 0.3746 - val_categorical_accuracy: 0.8659 - 930ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.3881 - categorical_accuracy: 0.8585 - val_loss: 0.3709 - val_categorical_accuracy: 0.8642 - 930ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3701 - categorical_accuracy: 0.8646 - val_loss: 0.4005 - val_categorical_accuracy: 0.8510 - 930ms/epoch - 7ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3549 - categorical_accuracy: 0.8712 - val_loss: 0.3492 - val_categorical_accuracy: 0.8731 - 924ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3425 - categorical_accuracy: 0.8755 - val_loss: 0.4094 - val_categorical_accuracy: 0.8520 - 940ms/epoch - 7ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.6071 - categorical_accuracy: 0.8024 - val_loss: 0.4493 - val_categorical_accuracy: 0.8304 - 930ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3424 - categorical_accuracy: 0.8762 - val_loss: 0.3754 - val_categorical_accuracy: 0.8670 - 930ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3264 - categorical_accuracy: 0.8822 - val_loss: 0.3369 - val_categorical_accuracy: 0.8803 - 920ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3124 - categorical_accuracy: 0.8874 - val_loss: 0.3556 - val_categorical_accuracy: 0.8705 - 940ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.2976 - categorical_accuracy: 0.8937 - val_loss: 0.5560 - val_categorical_accuracy: 0.8081 - 930ms/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3575 - categorical_accuracy: 0.8813 - val_loss: 0.3012 - val_categorical_accuracy: 0.8948 - 930ms/epoch - 7ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.2737 - categorical_accuracy: 0.9013 - val_loss: 0.3294 - val_categorical_accuracy: 0.8793 - 940ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2843 - categorical_accuracy: 0.8992 - val_loss: 0.3535 - val_categorical_accuracy: 0.8777 - 920ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2620 - categorical_accuracy: 0.9072 - val_loss: 0.2606 - val_categorical_accuracy: 0.9095 - 930ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2567 - categorical_accuracy: 0.9091 - val_loss: 0.2748 - val_categorical_accuracy: 0.9016 - 920ms/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2602 - categorical_accuracy: 0.9101 - val_loss: 0.2971 - val_categorical_accuracy: 0.8933 - 940ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2526 - categorical_accuracy: 0.9108 - val_loss: 0.2506 - val_categorical_accuracy: 0.9130 - 931ms/epoch - 7ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2324 - categorical_accuracy: 0.9182 - val_loss: 0.2763 - val_categorical_accuracy: 0.9005 - 920ms/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2220 - categorical_accuracy: 0.9215 - val_loss: 0.2230 - val_categorical_accuracy: 0.9212 - 934ms/epoch - 7ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3008 - categorical_accuracy: 0.9011 - val_loss: 0.2377 - val_categorical_accuracy: 0.9190 - 920ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2141 - categorical_accuracy: 0.9250 - val_loss: 0.2364 - val_categorical_accuracy: 0.9166 - 914ms/epoch - 6ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2135 - categorical_accuracy: 0.9255 - val_loss: 0.2107 - val_categorical_accuracy: 0.9264 - 940ms/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2173 - categorical_accuracy: 0.9256 - val_loss: 0.2147 - val_categorical_accuracy: 0.9267 - 930ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2107 - categorical_accuracy: 0.9262 - val_loss: 0.3779 - val_categorical_accuracy: 0.8642 - 920ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.1971 - categorical_accuracy: 0.9313 - val_loss: 0.8775 - val_categorical_accuracy: 0.7616 - 924ms/epoch - 7ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2029 - categorical_accuracy: 0.9302 - val_loss: 0.2110 - val_categorical_accuracy: 0.9259 - 940ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.1908 - categorical_accuracy: 0.9344 - val_loss: 0.2470 - val_categorical_accuracy: 0.9143 - 924ms/epoch - 7ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.1935 - categorical_accuracy: 0.9336 - val_loss: 0.2013 - val_categorical_accuracy: 0.9307 - 926ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.1748 - categorical_accuracy: 0.9386 - val_loss: 0.2209 - val_categorical_accuracy: 0.9193 - 930ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2529 - categorical_accuracy: 0.9212 - val_loss: 0.1870 - val_categorical_accuracy: 0.9367 - 924ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.1682 - categorical_accuracy: 0.9420 - val_loss: 0.2318 - val_categorical_accuracy: 0.9165 - 930ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.1740 - categorical_accuracy: 0.9404 - val_loss: 0.2094 - val_categorical_accuracy: 0.9277 - 930ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2055 - categorical_accuracy: 0.9308 - val_loss: 0.2053 - val_categorical_accuracy: 0.9310 - 920ms/epoch - 7ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.1538 - categorical_accuracy: 0.9474 - val_loss: 0.1828 - val_categorical_accuracy: 0.9367 - 919ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.1735 - categorical_accuracy: 0.9417 - val_loss: 0.2020 - val_categorical_accuracy: 0.9320 - 920ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1521 - categorical_accuracy: 0.9472 - val_loss: 0.1816 - val_categorical_accuracy: 0.9387 - 940ms/epoch - 7ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.1577 - categorical_accuracy: 0.9457 - val_loss: 0.1713 - val_categorical_accuracy: 0.9402 - 920ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1661 - categorical_accuracy: 0.9444 - val_loss: 0.3041 - val_categorical_accuracy: 0.8971 - 924ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1599 - categorical_accuracy: 0.9458 - val_loss: 0.1889 - val_categorical_accuracy: 0.9348 - 940ms/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1437 - categorical_accuracy: 0.9506 - val_loss: 0.1728 - val_categorical_accuracy: 0.9417 - 924ms/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1678 - categorical_accuracy: 0.9442 - val_loss: 0.1657 - val_categorical_accuracy: 0.9433 - 916ms/epoch - 6ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1369 - categorical_accuracy: 0.9535 - val_loss: 0.1909 - val_categorical_accuracy: 0.9341 - 920ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1422 - categorical_accuracy: 0.9526 - val_loss: 0.2445 - val_categorical_accuracy: 0.9142 - 934ms/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1709 - categorical_accuracy: 0.9444 - val_loss: 0.1782 - val_categorical_accuracy: 0.9411 - 940ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1335 - categorical_accuracy: 0.9544 - val_loss: 0.2203 - val_categorical_accuracy: 0.9262 - 934ms/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1610 - categorical_accuracy: 0.9475 - val_loss: 0.2033 - val_categorical_accuracy: 0.9352 - 940ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1347 - categorical_accuracy: 0.9545 - val_loss: 0.1583 - val_categorical_accuracy: 0.9462 - 930ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1360 - categorical_accuracy: 0.9535 - val_loss: 0.1687 - val_categorical_accuracy: 0.9432 - 930ms/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1327 - categorical_accuracy: 0.9552 - val_loss: 0.1874 - val_categorical_accuracy: 0.9366 - 940ms/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1220 - categorical_accuracy: 0.9582 - val_loss: 0.1687 - val_categorical_accuracy: 0.9440 - 910ms/epoch - 6ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1911 - categorical_accuracy: 0.9418 - val_loss: 0.1611 - val_categorical_accuracy: 0.9470 - 918ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1207 - categorical_accuracy: 0.9589 - val_loss: 0.1522 - val_categorical_accuracy: 0.9493 - 930ms/epoch - 7ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1189 - categorical_accuracy: 0.9590 - val_loss: 0.1582 - val_categorical_accuracy: 0.9466 - 940ms/epoch - 7ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1183 - categorical_accuracy: 0.9600 - val_loss: 0.1527 - val_categorical_accuracy: 0.9490 - 920ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1116 - categorical_accuracy: 0.9618 - val_loss: 0.1560 - val_categorical_accuracy: 0.9485 - 940ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1293 - categorical_accuracy: 0.9576 - val_loss: 0.1697 - val_categorical_accuracy: 0.9446 - 941ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1812 - categorical_accuracy: 0.9456 - val_loss: 0.1690 - val_categorical_accuracy: 0.9443 - 930ms/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1122 - categorical_accuracy: 0.9615 - val_loss: 0.3711 - val_categorical_accuracy: 0.8771 - 924ms/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1173 - categorical_accuracy: 0.9611 - val_loss: 0.1695 - val_categorical_accuracy: 0.9455 - 930ms/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1201 - categorical_accuracy: 0.9590 - val_loss: 0.1527 - val_categorical_accuracy: 0.9506 - 920ms/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1245 - categorical_accuracy: 0.9593 - val_loss: 0.1557 - val_categorical_accuracy: 0.9473 - 920ms/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1205 - categorical_accuracy: 0.9610 - val_loss: 0.2125 - val_categorical_accuracy: 0.9317 - 924ms/epoch - 7ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9635 - val_loss: 0.1516 - val_categorical_accuracy: 0.9498 - 940ms/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1054 - categorical_accuracy: 0.9642 - val_loss: 0.1888 - val_categorical_accuracy: 0.9366 - 940ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1218 - categorical_accuracy: 0.9608 - val_loss: 0.1576 - val_categorical_accuracy: 0.9494 - 930ms/epoch - 7ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1065 - categorical_accuracy: 0.9646 - val_loss: 0.1550 - val_categorical_accuracy: 0.9511 - 940ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1007 - categorical_accuracy: 0.9658 - val_loss: 0.1654 - val_categorical_accuracy: 0.9458 - 920ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1014 - categorical_accuracy: 0.9654 - val_loss: 0.1592 - val_categorical_accuracy: 0.9464 - 920ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.0926 - categorical_accuracy: 0.9685 - val_loss: 0.1512 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.2486 - categorical_accuracy: 0.9281 - val_loss: 0.2288 - val_categorical_accuracy: 0.9237 - 940ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9648 - val_loss: 0.1433 - val_categorical_accuracy: 0.9536 - 924ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9681 - val_loss: 0.1551 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9666 - val_loss: 0.1434 - val_categorical_accuracy: 0.9539 - 940ms/epoch - 7ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.0900 - categorical_accuracy: 0.9692 - val_loss: 0.1840 - val_categorical_accuracy: 0.9384 - 920ms/epoch - 7ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.0926 - categorical_accuracy: 0.9682 - val_loss: 0.1846 - val_categorical_accuracy: 0.9405 - 920ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1182 - categorical_accuracy: 0.9625 - val_loss: 0.1395 - val_categorical_accuracy: 0.9549 - 930ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9710 - val_loss: 0.2766 - val_categorical_accuracy: 0.9157 - 924ms/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1715 - categorical_accuracy: 0.9498 - val_loss: 0.1594 - val_categorical_accuracy: 0.9501 - 920ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9702 - val_loss: 0.2232 - val_categorical_accuracy: 0.9317 - 930ms/epoch - 7ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9708 - val_loss: 0.1715 - val_categorical_accuracy: 0.9459 - 950ms/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9703 - val_loss: 0.1539 - val_categorical_accuracy: 0.9490 - 941ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1044 - categorical_accuracy: 0.9660 - val_loss: 0.1485 - val_categorical_accuracy: 0.9532 - 920ms/epoch - 7ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.0961 - categorical_accuracy: 0.9675 - val_loss: 0.1804 - val_categorical_accuracy: 0.9440 - 940ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.0973 - categorical_accuracy: 0.9682 - val_loss: 0.1508 - val_categorical_accuracy: 0.9514 - 920ms/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9717 - val_loss: 0.2120 - val_categorical_accuracy: 0.9327 - 930ms/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.0819 - categorical_accuracy: 0.9720 - val_loss: 0.1402 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9726 - val_loss: 0.1628 - val_categorical_accuracy: 0.9540 - 930ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1065 - categorical_accuracy: 0.9658 - val_loss: 0.1414 - val_categorical_accuracy: 0.9545 - 925ms/epoch - 7ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9690 - val_loss: 0.1389 - val_categorical_accuracy: 0.9557 - 930ms/epoch - 7ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9743 - val_loss: 0.1590 - val_categorical_accuracy: 0.9508 - 950ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.0736 - categorical_accuracy: 0.9748 - val_loss: 0.1590 - val_categorical_accuracy: 0.9500 - 920ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9636 - val_loss: 0.1499 - val_categorical_accuracy: 0.9520 - 914ms/epoch - 6ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9747 - val_loss: 0.1582 - val_categorical_accuracy: 0.9504 - 940ms/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1040 - categorical_accuracy: 0.9665 - val_loss: 0.1338 - val_categorical_accuracy: 0.9573 - 914ms/epoch - 6ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.0732 - categorical_accuracy: 0.9750 - val_loss: 0.1365 - val_categorical_accuracy: 0.9575 - 920ms/epoch - 7ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.0929 - categorical_accuracy: 0.9697 - val_loss: 0.1359 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9753 - val_loss: 0.1626 - val_categorical_accuracy: 0.9485 - 940ms/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.0950 - categorical_accuracy: 0.9693 - val_loss: 0.1362 - val_categorical_accuracy: 0.9571 - 924ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9736 - val_loss: 0.1413 - val_categorical_accuracy: 0.9561 - 914ms/epoch - 6ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9744 - val_loss: 0.1355 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9687 - val_loss: 0.1497 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9755 - val_loss: 0.1532 - val_categorical_accuracy: 0.9526 - 940ms/epoch - 7ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9761 - val_loss: 0.1552 - val_categorical_accuracy: 0.9510 - 940ms/epoch - 7ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9745 - val_loss: 0.1500 - val_categorical_accuracy: 0.9552 - 920ms/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0807 - categorical_accuracy: 0.9727 - val_loss: 0.1416 - val_categorical_accuracy: 0.9544 - 930ms/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9724 - val_loss: 0.1429 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9728 - val_loss: 0.1331 - val_categorical_accuracy: 0.9590 - 924ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9775 - val_loss: 0.1621 - val_categorical_accuracy: 0.9522 - 910ms/epoch - 6ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9731 - val_loss: 0.1431 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.0981 - categorical_accuracy: 0.9687 - val_loss: 0.1315 - val_categorical_accuracy: 0.9590 - 950ms/epoch - 7ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9786 - val_loss: 0.1718 - val_categorical_accuracy: 0.9489 - 924ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9729 - val_loss: 0.1513 - val_categorical_accuracy: 0.9532 - 916ms/epoch - 6ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9773 - val_loss: 0.1502 - val_categorical_accuracy: 0.9540 - 930ms/epoch - 7ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0680 - categorical_accuracy: 0.9769 - val_loss: 0.1508 - val_categorical_accuracy: 0.9539 - 925ms/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9777 - val_loss: 0.1393 - val_categorical_accuracy: 0.9591 - 930ms/epoch - 7ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9773 - val_loss: 0.2167 - val_categorical_accuracy: 0.9362 - 920ms/epoch - 7ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1060 - categorical_accuracy: 0.9676 - val_loss: 0.1390 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9782 - val_loss: 0.1363 - val_categorical_accuracy: 0.9592 - 924ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9690 - val_loss: 0.1366 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9748 - val_loss: 0.1385 - val_categorical_accuracy: 0.9588 - 934ms/epoch - 7ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9788 - val_loss: 0.1440 - val_categorical_accuracy: 0.9568 - 931ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9777 - val_loss: 0.1634 - val_categorical_accuracy: 0.9515 - 924ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9778 - val_loss: 0.1562 - val_categorical_accuracy: 0.9535 - 920ms/epoch - 7ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9782 - val_loss: 0.1452 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0892 - categorical_accuracy: 0.9711 - val_loss: 0.1318 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9768 - val_loss: 0.1771 - val_categorical_accuracy: 0.9454 - 930ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9782 - val_loss: 0.1439 - val_categorical_accuracy: 0.9571 - 934ms/epoch - 7ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9724 - val_loss: 0.1418 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9797 - val_loss: 0.1361 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9700 - val_loss: 0.1425 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9785 - val_loss: 0.1339 - val_categorical_accuracy: 0.9594 - 908ms/epoch - 6ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1095 - categorical_accuracy: 0.9671 - val_loss: 0.1333 - val_categorical_accuracy: 0.9610 - 910ms/epoch - 6ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9799 - val_loss: 0.1349 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9748 - val_loss: 0.1337 - val_categorical_accuracy: 0.9598 - 930ms/epoch - 7ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9798 - val_loss: 0.1397 - val_categorical_accuracy: 0.9589 - 914ms/epoch - 6ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9798 - val_loss: 0.1633 - val_categorical_accuracy: 0.9513 - 920ms/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9798 - val_loss: 0.1639 - val_categorical_accuracy: 0.9530 - 930ms/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9776 - val_loss: 0.1349 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9793 - val_loss: 0.1428 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9793 - val_loss: 0.1405 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9774 - val_loss: 0.1348 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9812 - val_loss: 0.1392 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9666 - val_loss: 0.1461 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9807 - val_loss: 0.1348 - val_categorical_accuracy: 0.9628 - 960ms/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9798 - val_loss: 0.1616 - val_categorical_accuracy: 0.9503 - 920ms/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1228 - categorical_accuracy: 0.9642 - val_loss: 0.1375 - val_categorical_accuracy: 0.9576 - 930ms/epoch - 7ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9802 - val_loss: 0.1567 - val_categorical_accuracy: 0.9543 - 940ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9808 - val_loss: 0.1454 - val_categorical_accuracy: 0.9581 - 914ms/epoch - 6ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9789 - val_loss: 0.1393 - val_categorical_accuracy: 0.9598 - 920ms/epoch - 7ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9812 - val_loss: 0.1534 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9798 - val_loss: 0.1540 - val_categorical_accuracy: 0.9555 - 930ms/epoch - 7ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9742 - val_loss: 0.1315 - val_categorical_accuracy: 0.9604 - 934ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9812 - val_loss: 0.1792 - val_categorical_accuracy: 0.9489 - 926ms/epoch - 7ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0867 - categorical_accuracy: 0.9715 - val_loss: 0.1269 - val_categorical_accuracy: 0.9647 - 960ms/epoch - 7ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9817 - val_loss: 0.1345 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9801 - val_loss: 0.1417 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9739 - val_loss: 0.1556 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9815 - val_loss: 0.1478 - val_categorical_accuracy: 0.9572 - 930ms/epoch - 7ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9797 - val_loss: 0.1685 - val_categorical_accuracy: 0.9534 - 920ms/epoch - 7ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9805 - val_loss: 0.1448 - val_categorical_accuracy: 0.9592 - 920ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9814 - val_loss: 0.1396 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9805 - val_loss: 0.1384 - val_categorical_accuracy: 0.9617 - 910ms/epoch - 6ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9794 - val_loss: 0.1319 - val_categorical_accuracy: 0.9630 - 924ms/epoch - 7ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9738 - val_loss: 0.1502 - val_categorical_accuracy: 0.9561 - 940ms/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9823 - val_loss: 0.1366 - val_categorical_accuracy: 0.9610 - 924ms/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9809 - val_loss: 0.1370 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9818 - val_loss: 0.1354 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9808 - val_loss: 0.1372 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9723 - val_loss: 0.1383 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9821 - val_loss: 0.1394 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9819 - val_loss: 0.1402 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9808 - val_loss: 0.1406 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9822 - val_loss: 0.1442 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9742 - val_loss: 0.1333 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9825 - val_loss: 0.1380 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.2199 - val_categorical_accuracy: 0.9406 - 920ms/epoch - 7ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9792 - val_loss: 0.2166 - val_categorical_accuracy: 0.9410 - 920ms/epoch - 7ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9748 - val_loss: 0.1359 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.1409 - val_categorical_accuracy: 0.9611 - 925ms/epoch - 7ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9818 - val_loss: 0.1376 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9812 - val_loss: 0.1373 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9819 - val_loss: 0.1867 - val_categorical_accuracy: 0.9453 - 934ms/epoch - 7ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9815 - val_loss: 0.1456 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9823 - val_loss: 0.1426 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9773 - val_loss: 0.1549 - val_categorical_accuracy: 0.9559 - 930ms/epoch - 7ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9821 - val_loss: 0.1490 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9810 - val_loss: 0.1578 - val_categorical_accuracy: 0.9566 - 920ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9823 - val_loss: 0.1317 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1411 - val_categorical_accuracy: 0.9624 - 914ms/epoch - 6ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9650 - val_loss: 0.1600 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9806 - val_loss: 0.1353 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.1483 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9819 - val_loss: 0.1436 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9812 - val_loss: 0.1508 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9824 - val_loss: 0.1641 - val_categorical_accuracy: 0.9505 - 930ms/epoch - 7ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9788 - val_loss: 0.1411 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9796 - val_loss: 0.1389 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9831 - val_loss: 0.1363 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1435 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1390 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9833 - val_loss: 0.1583 - val_categorical_accuracy: 0.9536 - 920ms/epoch - 7ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9829 - val_loss: 0.1444 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9830 - val_loss: 0.1577 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9832 - val_loss: 0.1478 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9756 - val_loss: 0.1559 - val_categorical_accuracy: 0.9570 - 930ms/epoch - 7ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9776 - val_loss: 0.1390 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9835 - val_loss: 0.1433 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.1650 - val_categorical_accuracy: 0.9554 - 940ms/epoch - 7ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9819 - val_loss: 0.1424 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9828 - val_loss: 0.1564 - val_categorical_accuracy: 0.9592 - 920ms/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0822 - categorical_accuracy: 0.9739 - val_loss: 0.1297 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9844 - val_loss: 0.1417 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9837 - val_loss: 0.1339 - val_categorical_accuracy: 0.9655 - 914ms/epoch - 6ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1431 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9831 - val_loss: 0.1456 - val_categorical_accuracy: 0.9622 - 934ms/epoch - 7ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.1603 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9825 - val_loss: 0.1411 - val_categorical_accuracy: 0.9646 - 910ms/epoch - 6ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9828 - val_loss: 0.1488 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9780 - val_loss: 0.1396 - val_categorical_accuracy: 0.9614 - 924ms/epoch - 7ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1621 - val_categorical_accuracy: 0.9600 - 916ms/epoch - 6ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1409 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.1412 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1513 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.1612 - val_categorical_accuracy: 0.9566 - 935ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0969 - categorical_accuracy: 0.9718 - val_loss: 0.1316 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9803 - val_loss: 0.1340 - val_categorical_accuracy: 0.9622 - 924ms/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9802 - val_loss: 0.1638 - val_categorical_accuracy: 0.9508 - 920ms/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9838 - val_loss: 0.1388 - val_categorical_accuracy: 0.9633 - 918ms/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1616 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.1707 - val_categorical_accuracy: 0.9575 - 925ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9839 - val_loss: 0.1385 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.1429 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0900 - categorical_accuracy: 0.9728 - val_loss: 0.1352 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9842 - val_loss: 0.1319 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9821 - val_loss: 0.1343 - val_categorical_accuracy: 0.9655 - 944ms/epoch - 7ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1331 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1463 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9844 - val_loss: 0.1490 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.2106 - val_categorical_accuracy: 0.9451 - 934ms/epoch - 7ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9828 - val_loss: 0.1443 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9843 - val_loss: 0.1639 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0934 - categorical_accuracy: 0.9723 - val_loss: 0.1444 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9851 - val_loss: 0.1645 - val_categorical_accuracy: 0.9575 - 934ms/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1692 - val_categorical_accuracy: 0.9542 - 930ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9815 - val_loss: 0.1429 - val_categorical_accuracy: 0.9610 - 940ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1392 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1431 - val_categorical_accuracy: 0.9634 - 934ms/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9840 - val_loss: 0.1522 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9844 - val_loss: 0.1453 - val_categorical_accuracy: 0.9638 - 974ms/epoch - 7ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9764 - val_loss: 0.1451 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.1435 - val_categorical_accuracy: 0.9645 - 1s/epoch - 7ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.1427 - val_categorical_accuracy: 0.9629 - 1s/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.1842 - val_categorical_accuracy: 0.9557 - 1s/epoch - 8ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.1488 - val_categorical_accuracy: 0.9648 - 1s/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.1558 - val_categorical_accuracy: 0.9578 - 1s/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.1518 - val_categorical_accuracy: 0.9605 - 1s/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9790 - val_loss: 0.1386 - val_categorical_accuracy: 0.9642 - 1s/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1444 - val_categorical_accuracy: 0.9635 - 1s/epoch - 8ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9845 - val_loss: 0.1645 - val_categorical_accuracy: 0.9566 - 1s/epoch - 8ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9778 - val_loss: 0.1431 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1732 - val_categorical_accuracy: 0.9554 - 1s/epoch - 8ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.1803 - val_categorical_accuracy: 0.9536 - 1s/epoch - 7ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0688 - categorical_accuracy: 0.9783 - val_loss: 0.1395 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9779 - val_loss: 0.1377 - val_categorical_accuracy: 0.9619 - 1s/epoch - 8ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1379 - val_categorical_accuracy: 0.9647 - 1s/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1552 - val_categorical_accuracy: 0.9600 - 1s/epoch - 8ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.1601 - val_categorical_accuracy: 0.9598 - 1s/epoch - 8ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1417 - val_categorical_accuracy: 0.9642 - 1s/epoch - 8ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.1494 - val_categorical_accuracy: 0.9636 - 1s/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.1463 - val_categorical_accuracy: 0.9634 - 1s/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9834 - val_loss: 0.1376 - val_categorical_accuracy: 0.9651 - 1s/epoch - 8ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9846 - val_loss: 0.2359 - val_categorical_accuracy: 0.9387 - 1s/epoch - 8ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9838 - val_loss: 0.1634 - val_categorical_accuracy: 0.9572 - 1s/epoch - 8ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.1492 - val_categorical_accuracy: 0.9625 - 1s/epoch - 8ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1609 - val_categorical_accuracy: 0.9597 - 1s/epoch - 8ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9844 - val_loss: 0.1474 - val_categorical_accuracy: 0.9641 - 1s/epoch - 8ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9811 - val_loss: 0.1398 - val_categorical_accuracy: 0.9647 - 1s/epoch - 7ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1487 - val_categorical_accuracy: 0.9642 - 1s/epoch - 7ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.1478 - val_categorical_accuracy: 0.9638 - 1s/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9796 - val_loss: 0.1440 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.1473 - val_categorical_accuracy: 0.9634 - 1s/epoch - 8ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1520 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1458 - val_categorical_accuracy: 0.9640 - 1s/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1883 - val_categorical_accuracy: 0.9511 - 1s/epoch - 8ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1707 - val_categorical_accuracy: 0.9558 - 1s/epoch - 8ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9848 - val_loss: 0.1459 - val_categorical_accuracy: 0.9639 - 1s/epoch - 8ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9836 - val_loss: 0.1560 - val_categorical_accuracy: 0.9638 - 1s/epoch - 8ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.1775 - val_categorical_accuracy: 0.9566 - 1s/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1583 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9851 - val_loss: 0.1473 - val_categorical_accuracy: 0.9624 - 1s/epoch - 8ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1585 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.1556 - val_categorical_accuracy: 0.9630 - 1s/epoch - 7ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9804 - val_loss: 0.1513 - val_categorical_accuracy: 0.9611 - 1s/epoch - 8ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.1465 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1535 - val_categorical_accuracy: 0.9592 - 1s/epoch - 7ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1610 - val_categorical_accuracy: 0.9568 - 1s/epoch - 8ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9847 - val_loss: 0.1464 - val_categorical_accuracy: 0.9643 - 1s/epoch - 8ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1538 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9856 - val_loss: 0.1418 - val_categorical_accuracy: 0.9662 - 1s/epoch - 8ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1542 - val_categorical_accuracy: 0.9622 - 1s/epoch - 8ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1581 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.1500 - val_categorical_accuracy: 0.9633 - 1s/epoch - 8ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1530 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.1472 - val_categorical_accuracy: 0.9656 - 1s/epoch - 8ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9849 - val_loss: 0.1582 - val_categorical_accuracy: 0.9625 - 1s/epoch - 8ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9848 - val_loss: 0.1569 - val_categorical_accuracy: 0.9637 - 1s/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9851 - val_loss: 0.1710 - val_categorical_accuracy: 0.9586 - 1s/epoch - 8ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9850 - val_loss: 0.1597 - val_categorical_accuracy: 0.9617 - 1s/epoch - 7ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1558 - val_categorical_accuracy: 0.9629 - 1s/epoch - 8ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1577 - val_categorical_accuracy: 0.9645 - 1s/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.1997 - val_categorical_accuracy: 0.9457 - 1s/epoch - 8ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.2540 - categorical_accuracy: 0.9295 - val_loss: 0.1407 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9846 - val_loss: 0.1481 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1458 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1493 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.1476 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1435 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1607 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1515 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2967 - val_categorical_accuracy: 0.9282 - 920ms/epoch - 7ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9849 - val_loss: 0.1506 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.1511 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1545 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1485 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1746 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1720 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.2502 - categorical_accuracy: 0.9238 - val_loss: 0.2150 - val_categorical_accuracy: 0.9298 - 930ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0819 - categorical_accuracy: 0.9719 - val_loss: 0.1540 - val_categorical_accuracy: 0.9553 - 940ms/epoch - 7ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9812 - val_loss: 0.1576 - val_categorical_accuracy: 0.9596 - 935ms/epoch - 7ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1613 - val_categorical_accuracy: 0.9584 - 960ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1401 - val_categorical_accuracy: 0.9655 - 934ms/epoch - 7ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9789 - val_loss: 0.1466 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9855 - val_loss: 0.1429 - val_categorical_accuracy: 0.9630 - 924ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.1455 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.1513 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1465 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.1462 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1628 - val_categorical_accuracy: 0.9601 - 944ms/epoch - 7ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1505 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1469 - val_categorical_accuracy: 0.9640 - 924ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9818 - val_loss: 0.1730 - val_categorical_accuracy: 0.9525 - 940ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9813 - val_loss: 0.1454 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1466 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9830 - val_loss: 0.1493 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9860 - val_loss: 0.1569 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9853 - val_loss: 0.1472 - val_categorical_accuracy: 0.9662 - 924ms/epoch - 7ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1497 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1530 - val_categorical_accuracy: 0.9640 - 935ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1543 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.1653 - val_categorical_accuracy: 0.9628 - 924ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.1957 - val_categorical_accuracy: 0.9501 - 946ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9851 - val_loss: 0.1500 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9820 - val_loss: 0.1527 - val_categorical_accuracy: 0.9633 - 1s/epoch - 8ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1484 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1573 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.1529 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9793 - val_loss: 0.1524 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.1545 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1514 - val_categorical_accuracy: 0.9642 - 924ms/epoch - 7ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.3501 - val_categorical_accuracy: 0.9165 - 930ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.2060 - val_categorical_accuracy: 0.9495 - 950ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1535 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.1615 - val_categorical_accuracy: 0.9619 - 910ms/epoch - 6ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1568 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9858 - val_loss: 0.1562 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.1580 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9840 - val_loss: 0.1503 - val_categorical_accuracy: 0.9658 - 924ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1531 - val_categorical_accuracy: 0.9650 - 950ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1530 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2787 - val_categorical_accuracy: 0.9350 - 920ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1548 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2535 - val_categorical_accuracy: 0.9368 - 920ms/epoch - 7ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0796 - categorical_accuracy: 0.9767 - val_loss: 0.1523 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1493 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.1508 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1568 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1562 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.1568 - val_categorical_accuracy: 0.9617 - 944ms/epoch - 7ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1670 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1521 - val_categorical_accuracy: 0.9646 - 928ms/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.1616 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.1590 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9788 - val_loss: 0.1470 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1478 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.1498 - val_categorical_accuracy: 0.9630 - 935ms/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9864 - val_loss: 0.1493 - val_categorical_accuracy: 0.9646 - 910ms/epoch - 6ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1552 - val_categorical_accuracy: 0.9637 - 915ms/epoch - 6ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9871 - val_loss: 0.1774 - val_categorical_accuracy: 0.9580 - 940ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.1526 - val_categorical_accuracy: 0.9645 - 934ms/epoch - 7ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1588 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1640 - val_categorical_accuracy: 0.9622 - 944ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.1670 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1565 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1622 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.1573 - val_categorical_accuracy: 0.9647 - 964ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9812 - val_loss: 0.1442 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1489 - val_categorical_accuracy: 0.9643 - 924ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1606 - val_categorical_accuracy: 0.9616 - 936ms/epoch - 7ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1578 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1693 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1592 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1585 - val_categorical_accuracy: 0.9638 - 924ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1709 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.1657 - val_categorical_accuracy: 0.9641 - 910ms/epoch - 6ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1645 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9824 - val_loss: 0.1512 - val_categorical_accuracy: 0.9637 - 914ms/epoch - 6ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.1552 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1653 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.1562 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.1599 - val_categorical_accuracy: 0.9634 - 924ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1674 - val_categorical_accuracy: 0.9592 - 926ms/epoch - 7ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1871 - val_categorical_accuracy: 0.9545 - 940ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1856 - val_categorical_accuracy: 0.9548 - 940ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.1605 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9777 - val_loss: 0.1579 - val_categorical_accuracy: 0.9615 - 945ms/epoch - 7ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1493 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.1652 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1618 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9790 - val_loss: 0.1503 - val_categorical_accuracy: 0.9635 - 914ms/epoch - 6ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1557 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.1501 - val_categorical_accuracy: 0.9662 - 935ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.1889 - val_categorical_accuracy: 0.9547 - 930ms/epoch - 7ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1560 - val_categorical_accuracy: 0.9641 - 924ms/epoch - 7ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1635 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.1546 - val_categorical_accuracy: 0.9655 - 944ms/epoch - 7ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.1639 - val_categorical_accuracy: 0.9654 - 926ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.1604 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1552 - val_categorical_accuracy: 0.9645 - 939ms/epoch - 7ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1578 - val_categorical_accuracy: 0.9659 - 927ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.1632 - val_categorical_accuracy: 0.9650 - 925ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9868 - val_loss: 0.1595 - val_categorical_accuracy: 0.9641 - 914ms/epoch - 6ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.1595 - val_categorical_accuracy: 0.9644 - 934ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9820 - val_loss: 0.1532 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1838 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1744 - val_categorical_accuracy: 0.9583 - 940ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1839 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.1651 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1628 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.1704 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.1888 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1625 - val_categorical_accuracy: 0.9651 - 910ms/epoch - 6ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1696 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1595 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9775 - val_loss: 0.1536 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.1530 - val_categorical_accuracy: 0.9655 - 939ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1653 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1802 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1658 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1613 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9810 - val_loss: 0.1597 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9878 - val_loss: 0.1527 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.1690 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1759 - val_categorical_accuracy: 0.9610 - 934ms/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9861 - val_loss: 0.9911 - val_categorical_accuracy: 0.7839 - 926ms/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9813 - val_loss: 0.1616 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1628 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.1930 - val_categorical_accuracy: 0.9544 - 930ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1613 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1567 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1567 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.1684 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1668 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1620 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1819 - val_categorical_accuracy: 0.9613 - 934ms/epoch - 7ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1734 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9871 - val_loss: 0.1577 - val_categorical_accuracy: 0.9658 - 924ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1673 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1698 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.1778 - val_categorical_accuracy: 0.9584 - 935ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1612 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1654 - val_categorical_accuracy: 0.9633 - 914ms/epoch - 6ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9823 - val_loss: 0.1482 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1569 - val_categorical_accuracy: 0.9653 - 934ms/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.1570 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2104 - val_categorical_accuracy: 0.9579 - 934ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.1655 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1613 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1785 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1625 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9827 - val_loss: 0.1526 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.1628 - val_categorical_accuracy: 0.9651 - 924ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.1725 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2044 - val_categorical_accuracy: 0.9534 - 920ms/epoch - 7ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1611 - val_categorical_accuracy: 0.9659 - 914ms/epoch - 6ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1719 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.1609 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1625 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1638 - val_categorical_accuracy: 0.9664 - 934ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9814 - val_loss: 0.1586 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1587 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.1634 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1642 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.1615 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.1672 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1753 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1714 - val_categorical_accuracy: 0.9649 - 925ms/epoch - 7ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.1681 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1924 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.1887 - val_categorical_accuracy: 0.9596 - 940ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1869 - val_categorical_accuracy: 0.9603 - 920ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.1785 - val_categorical_accuracy: 0.9621 - 934ms/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9873 - val_loss: 0.1685 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.3531 - val_categorical_accuracy: 0.9210 - 920ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9824 - val_loss: 0.1841 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.1639 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.1636 - val_categorical_accuracy: 0.9648 - 950ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1743 - val_categorical_accuracy: 0.9631 - 924ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1651 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1695 - val_categorical_accuracy: 0.9654 - 934ms/epoch - 7ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.1689 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1708 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1732 - val_categorical_accuracy: 0.9648 - 944ms/epoch - 7ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1797 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.1709 - val_categorical_accuracy: 0.9644 - 910ms/epoch - 6ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9818 - val_loss: 0.1657 - val_categorical_accuracy: 0.9605 - 910ms/epoch - 6ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.1565 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.1710 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.1545 - val_categorical_accuracy: 0.9666 - 924ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.1688 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.1594 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1690 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.1689 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1663 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1678 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9852 - val_loss: 0.1796 - val_categorical_accuracy: 0.9634 - 919ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.1716 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1772 - val_categorical_accuracy: 0.9602 - 904ms/epoch - 6ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1658 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2230 - val_categorical_accuracy: 0.9508 - 930ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1793 - val_categorical_accuracy: 0.9635 - 910ms/epoch - 6ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9808 - val_loss: 0.1596 - val_categorical_accuracy: 0.9646 - 914ms/epoch - 6ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1737 - val_categorical_accuracy: 0.9634 - 910ms/epoch - 6ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1726 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1821 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1828 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1663 - val_categorical_accuracy: 0.9660 - 950ms/epoch - 7ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.1659 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1760 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1758 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9780 - val_loss: 0.1499 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.1631 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1701 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1621 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1776 - val_categorical_accuracy: 0.9592 - 920ms/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.1653 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.1678 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9879 - val_loss: 0.1788 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1793 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.1667 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.1771 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.1703 - val_categorical_accuracy: 0.9645 - 918ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.1823 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1767 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9822 - val_loss: 0.4060 - val_categorical_accuracy: 0.8770 - 930ms/epoch - 7ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9839 - val_loss: 0.1612 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1646 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9870 - val_loss: 0.1633 - val_categorical_accuracy: 0.9661 - 925ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1636 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1751 - val_categorical_accuracy: 0.9646 - 917ms/epoch - 7ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2044 - val_categorical_accuracy: 0.9576 - 934ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1793 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1906 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.1735 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.1729 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.1723 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1757 - val_categorical_accuracy: 0.9643 - 914ms/epoch - 6ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2043 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.1718 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9833 - val_loss: 0.1783 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.1657 - val_categorical_accuracy: 0.9667 - 934ms/epoch - 7ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1698 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1762 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1747 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1776 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1791 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1719 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.1745 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1754 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9783 - val_loss: 0.1577 - val_categorical_accuracy: 0.9627 - 914ms/epoch - 6ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.1660 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.1835 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1741 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.1724 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1726 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9870 - val_loss: 0.1667 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1812 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9798 - val_loss: 0.1574 - val_categorical_accuracy: 0.9614 - 954ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.1702 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.1743 - val_categorical_accuracy: 0.9613 - 929ms/epoch - 7ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1725 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1921 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.1718 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.1683 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.1681 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.1744 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1671 - val_categorical_accuracy: 0.9649 - 924ms/epoch - 7ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.1663 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.1751 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1757 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1798 - val_categorical_accuracy: 0.9645 - 934ms/epoch - 7ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1782 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1819 - val_categorical_accuracy: 0.9638 - 910ms/epoch - 6ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9824 - val_loss: 0.1673 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1725 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1692 - val_categorical_accuracy: 0.9652 - 918ms/epoch - 7ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.1739 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1791 - val_categorical_accuracy: 0.9653 - 939ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1821 - val_categorical_accuracy: 0.9632 - 910ms/epoch - 6ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.1795 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.1776 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2075 - val_categorical_accuracy: 0.9612 - 925ms/epoch - 7ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.1812 - val_categorical_accuracy: 0.9632 - 910ms/epoch - 6ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9882 - val_loss: 0.1763 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.1740 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1786 - val_categorical_accuracy: 0.9657 - 915ms/epoch - 6ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9866 - val_loss: 0.1748 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1827 - val_categorical_accuracy: 0.9640 - 934ms/epoch - 7ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1718 - val_categorical_accuracy: 0.9643 - 926ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1799 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1905 - val_categorical_accuracy: 0.9608 - 924ms/epoch - 7ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1776 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.1789 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1864 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1886 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2216 - val_categorical_accuracy: 0.9543 - 934ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.1822 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1833 - val_categorical_accuracy: 0.9630 - 950ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1855 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1783 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1921 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1887 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1892 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1903 - val_categorical_accuracy: 0.9629 - 924ms/epoch - 7ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.1752 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1931 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1789 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1993 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.1963 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1811 - val_categorical_accuracy: 0.9659 - 914ms/epoch - 6ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1847 - val_categorical_accuracy: 0.9626 - 910ms/epoch - 6ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.1775 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.1897 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9764 - val_loss: 0.1677 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1700 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1702 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1700 - val_categorical_accuracy: 0.9653 - 935ms/epoch - 7ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.1691 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1823 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1805 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.1859 - val_categorical_accuracy: 0.9619 - 924ms/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1780 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.1835 - val_categorical_accuracy: 0.9652 - 945ms/epoch - 7ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9886 - val_loss: 0.1794 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.1793 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9887 - val_loss: 0.1886 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.1941 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.1829 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.1933 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.1881 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1840 - val_categorical_accuracy: 0.9648 - 910ms/epoch - 6ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.1905 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1859 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9889 - val_loss: 0.1896 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1803 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1759 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2464 - val_categorical_accuracy: 0.9492 - 930ms/epoch - 7ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9863 - val_loss: 0.1804 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1888 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2247 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.4713 - val_categorical_accuracy: 0.9103 - 910ms/epoch - 6ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9824 - val_loss: 0.1718 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.3250 - val_categorical_accuracy: 0.9325 - 940ms/epoch - 7ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1761 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1778 - val_categorical_accuracy: 0.9656 - 928ms/epoch - 7ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1778 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.1899 - val_categorical_accuracy: 0.9633 - 924ms/epoch - 7ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1770 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1830 - val_categorical_accuracy: 0.9647 - 950ms/epoch - 7ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1764 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.1828 - val_categorical_accuracy: 0.9612 - 924ms/epoch - 7ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.1785 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.1957 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9778 - val_loss: 0.1544 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.1640 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.1805 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1798 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.1822 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1793 - val_categorical_accuracy: 0.9652 - 938ms/epoch - 7ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.1820 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9871 - val_loss: 0.1920 - val_categorical_accuracy: 0.9649 - 910ms/epoch - 6ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1834 - val_categorical_accuracy: 0.9645 - 934ms/epoch - 7ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.1851 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.1835 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1811 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.1860 - val_categorical_accuracy: 0.9621 - 1s/epoch - 8ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9803 - val_loss: 0.1877 - val_categorical_accuracy: 0.9457 - 920ms/epoch - 7ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1682 - val_categorical_accuracy: 0.9651 - 915ms/epoch - 6ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.1749 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1800 - val_categorical_accuracy: 0.9654 - 924ms/epoch - 7ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1911 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1798 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.1842 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.1983 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.1808 - val_categorical_accuracy: 0.9637 - 944ms/epoch - 7ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9899 - val_loss: 0.1878 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1912 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2793 - val_categorical_accuracy: 0.9442 - 920ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9793 - val_loss: 0.1686 - val_categorical_accuracy: 0.9649 - 935ms/epoch - 7ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9899 - val_loss: 0.1774 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1807 - val_categorical_accuracy: 0.9646 - 924ms/epoch - 7ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.1754 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.1974 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1748 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1880 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.1874 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1791 - val_categorical_accuracy: 0.9644 - 924ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1834 - val_categorical_accuracy: 0.9654 - 916ms/epoch - 6ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1848 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1883 - val_categorical_accuracy: 0.9638 - 929ms/epoch - 7ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.1941 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1974 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.1949 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2068 - val_categorical_accuracy: 0.9587 - 924ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1988 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1833 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2267 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1887 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1849 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9810 - val_loss: 0.1626 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1751 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1779 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.2432 - val_categorical_accuracy: 0.9513 - 930ms/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.1862 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.1948 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.1870 - val_categorical_accuracy: 0.9645 - 950ms/epoch - 7ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1886 - val_categorical_accuracy: 0.9636 - 925ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.1856 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2020 - val_categorical_accuracy: 0.9610 - 934ms/epoch - 7ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.1838 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9890 - val_loss: 0.1830 - val_categorical_accuracy: 0.9667 - 924ms/epoch - 7ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.1907 - val_categorical_accuracy: 0.9651 - 950ms/epoch - 7ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9895 - val_loss: 0.1849 - val_categorical_accuracy: 0.9646 - 944ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.1879 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.1901 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1971 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9879 - val_loss: 0.2040 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.1835 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1868 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.1882 - val_categorical_accuracy: 0.9652 - 934ms/epoch - 7ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1865 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9891 - val_loss: 0.1860 - val_categorical_accuracy: 0.9644 - 914ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2000 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.1917 - val_categorical_accuracy: 0.9648 - 924ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.1914 - val_categorical_accuracy: 0.9647 - 924ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9891 - val_loss: 0.1874 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2015 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.1864 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.1971 - val_categorical_accuracy: 0.9645 - 935ms/epoch - 7ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.1991 - val_categorical_accuracy: 0.9639 - 924ms/epoch - 7ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9828 - val_loss: 0.1893 - val_categorical_accuracy: 0.9639 - 916ms/epoch - 6ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1799 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1828 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.1864 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.1959 - val_categorical_accuracy: 0.9643 - 925ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.1929 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9889 - val_loss: 0.1900 - val_categorical_accuracy: 0.9656 - 910ms/epoch - 6ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1982 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1868 - val_categorical_accuracy: 0.9644 - 910ms/epoch - 6ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9894 - val_loss: 0.2032 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2023 - val_categorical_accuracy: 0.9625 - 910ms/epoch - 6ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2165 - val_categorical_accuracy: 0.9582 - 920ms/epoch - 7ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9820 - val_loss: 0.1799 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.1899 - val_categorical_accuracy: 0.9620 - 910ms/epoch - 6ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2055 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.1773 - val_categorical_accuracy: 0.9667 - 930ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1978 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9893 - val_loss: 0.1898 - val_categorical_accuracy: 0.9642 - 910ms/epoch - 6ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2326 - val_categorical_accuracy: 0.9505 - 920ms/epoch - 7ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9844 - val_loss: 0.1857 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1892 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2044 - val_categorical_accuracy: 0.9628 - 914ms/epoch - 6ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.1933 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.1922 - val_categorical_accuracy: 0.9645 - 910ms/epoch - 6ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2277 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1863 - val_categorical_accuracy: 0.9656 - 924ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2228 - val_categorical_accuracy: 0.9552 - 926ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1968 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9896 - val_loss: 0.1877 - val_categorical_accuracy: 0.9646 - 935ms/epoch - 7ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9816 - val_loss: 0.1776 - val_categorical_accuracy: 0.9649 - 960ms/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1900 - val_categorical_accuracy: 0.9650 - 924ms/epoch - 7ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1914 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1887 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1897 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.1916 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.1964 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9835 - val_loss: 0.1650 - val_categorical_accuracy: 0.9636 - 934ms/epoch - 7ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1832 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2002 - val_categorical_accuracy: 0.9638 - 914ms/epoch - 6ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1855 - val_categorical_accuracy: 0.9661 - 926ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1872 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.1868 - val_categorical_accuracy: 0.9650 - 914ms/epoch - 6ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.1896 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1932 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1896 - val_categorical_accuracy: 0.9654 - 910ms/epoch - 6ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2089 - val_categorical_accuracy: 0.9614 - 904ms/epoch - 6ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2224 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9895 - val_loss: 0.1858 - val_categorical_accuracy: 0.9670 - 935ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.1904 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1854 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2034 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1967 - val_categorical_accuracy: 0.9647 - 914ms/epoch - 6ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.1972 - val_categorical_accuracy: 0.9630 - 916ms/epoch - 6ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.1920 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.1937 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1944 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1902 - val_categorical_accuracy: 0.9637 - 939ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2004 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1999 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.1936 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2006 - val_categorical_accuracy: 0.9641 - 934ms/epoch - 7ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2203 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9898 - val_loss: 0.1928 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.1979 - val_categorical_accuracy: 0.9640 - 936ms/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.1942 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9891 - val_loss: 0.1977 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2132 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.1936 - val_categorical_accuracy: 0.9658 - 914ms/epoch - 6ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.2071 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2072 - val_categorical_accuracy: 0.9616 - 925ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1971 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.3952 - val_categorical_accuracy: 0.9261 - 914ms/epoch - 6ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9869 - val_loss: 0.1987 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2027 - val_categorical_accuracy: 0.9632 - 928ms/epoch - 7ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1921 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9896 - val_loss: 0.2136 - val_categorical_accuracy: 0.9619 - 904ms/epoch - 6ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.1955 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.1987 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1998 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2012 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.1974 - val_categorical_accuracy: 0.9621 - 944ms/epoch - 7ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9902 - val_loss: 0.1981 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2084 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9821 - val_loss: 0.1809 - val_categorical_accuracy: 0.9588 - 950ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.1813 - val_categorical_accuracy: 0.9665 - 925ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9904 - val_loss: 0.1844 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1909 - val_categorical_accuracy: 0.9664 - 940ms/epoch - 7ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1970 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.1463 - categorical_accuracy: 0.9637 - val_loss: 0.1649 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9877 - val_loss: 0.1784 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.1835 - val_categorical_accuracy: 0.9646 - 935ms/epoch - 7ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.1927 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.1901 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.1923 - val_categorical_accuracy: 0.9662 - 944ms/epoch - 7ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.1891 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9887 - val_loss: 0.1847 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.1887 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.1982 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1920 - val_categorical_accuracy: 0.9638 - 910ms/epoch - 6ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1919 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1989 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.1968 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.1923 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9889 - val_loss: 0.1930 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9719 - val_loss: 0.1649 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1727 - val_categorical_accuracy: 0.9654 - 928ms/epoch - 7ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1964 - val_categorical_accuracy: 0.9629 - 916ms/epoch - 6ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1898 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1907 - val_categorical_accuracy: 0.9648 - 924ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2272 - val_categorical_accuracy: 0.9578 - 930ms/epoch - 7ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2034 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2005 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.1913 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.1950 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9901 - val_loss: 0.2026 - val_categorical_accuracy: 0.9633 - 924ms/epoch - 7ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9897 - val_loss: 0.1931 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2144 - val_categorical_accuracy: 0.9621 - 914ms/epoch - 6ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2007 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2053 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2074 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2026 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2029 - val_categorical_accuracy: 0.9606 - 914ms/epoch - 6ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2061 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2084 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9896 - val_loss: 0.1938 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2013 - val_categorical_accuracy: 0.9631 - 934ms/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.1972 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2013 - val_categorical_accuracy: 0.9590 - 954ms/epoch - 7ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.1920 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1912 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2041 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2037 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2017 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.1994 - val_categorical_accuracy: 0.9654 - 914ms/epoch - 6ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2032 - val_categorical_accuracy: 0.9632 - 936ms/epoch - 7ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2009 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2095 - val_categorical_accuracy: 0.9647 - 914ms/epoch - 6ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2041 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2010 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2016 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2127 - val_categorical_accuracy: 0.9594 - 944ms/epoch - 7ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2018 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2058 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2027 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2006 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1936 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9883 - val_loss: 0.2164 - val_categorical_accuracy: 0.9600 - 925ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2245 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2084 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2106 - val_categorical_accuracy: 0.9647 - 918ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2133 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9904 - val_loss: 0.2110 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.2275 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2060 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9902 - val_loss: 0.2078 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2079 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2039 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2073 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2432 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2116 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9779 - val_loss: 0.1833 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9901 - val_loss: 0.1873 - val_categorical_accuracy: 0.9642 - 924ms/epoch - 7ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9906 - val_loss: 0.1986 - val_categorical_accuracy: 0.9647 - 936ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.1969 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.1931 - val_categorical_accuracy: 0.9651 - 944ms/epoch - 7ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9829 - val_loss: 0.1808 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9905 - val_loss: 0.1969 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.1909 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.1922 - val_categorical_accuracy: 0.9657 - 914ms/epoch - 6ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2053 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2035 - val_categorical_accuracy: 0.9644 - 919ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.1165 - categorical_accuracy: 0.9677 - val_loss: 0.1628 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.1777 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.1793 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9905 - val_loss: 0.1843 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.1858 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1915 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1933 - val_categorical_accuracy: 0.9655 - 935ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.1850 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1830 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2026 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.1915 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2172 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9877 - val_loss: 0.1876 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1885 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1940 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1979 - val_categorical_accuracy: 0.9640 - 945ms/epoch - 7ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9900 - val_loss: 0.2004 - val_categorical_accuracy: 0.9648 - 922ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2086 - val_categorical_accuracy: 0.9618 - 926ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2036 - val_categorical_accuracy: 0.9585 - 934ms/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.1897 - val_categorical_accuracy: 0.9650 - 926ms/epoch - 7ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2020 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1984 - val_categorical_accuracy: 0.9650 - 924ms/epoch - 7ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.1952 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1991 - val_categorical_accuracy: 0.9640 - 935ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.1962 - val_categorical_accuracy: 0.9637 - 910ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2071 - val_categorical_accuracy: 0.9628 - 925ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2083 - val_categorical_accuracy: 0.9613 - 910ms/epoch - 6ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2534 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2087 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2033 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1988 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2095 - val_categorical_accuracy: 0.9646 - 908ms/epoch - 6ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2023 - val_categorical_accuracy: 0.9652 - 906ms/epoch - 6ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2088 - val_categorical_accuracy: 0.9658 - 910ms/epoch - 6ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2073 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2152 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2076 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2050 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2007 - val_categorical_accuracy: 0.9643 - 934ms/epoch - 7ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2076 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2072 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9899 - val_loss: 0.1981 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2190 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2133 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2095 - val_categorical_accuracy: 0.9632 - 944ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2166 - val_categorical_accuracy: 0.9572 - 926ms/epoch - 7ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2037 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2535 - val_categorical_accuracy: 0.9563 - 941ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2035 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2032 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2252 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.2051 - val_categorical_accuracy: 0.9642 - 924ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2031 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2094 - val_categorical_accuracy: 0.9653 - 934ms/epoch - 7ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2408 - val_categorical_accuracy: 0.9585 - 940ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2004 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2246 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2060 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2079 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2085 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9900 - val_loss: 0.2255 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2123 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2055 - val_categorical_accuracy: 0.9657 - 934ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2029 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9812 - val_loss: 0.1800 - val_categorical_accuracy: 0.9624 - 935ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.1909 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.1947 - val_categorical_accuracy: 0.9651 - 924ms/epoch - 7ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2013 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2053 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2067 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9834 - val_loss: 0.1772 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.1883 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.1908 - val_categorical_accuracy: 0.9649 - 925ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.1985 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1978 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.1934 - val_categorical_accuracy: 0.9664 - 912ms/epoch - 6ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1995 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2062 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9897 - val_loss: 0.1944 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2068 - val_categorical_accuracy: 0.9659 - 924ms/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2002 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9908 - val_loss: 0.1983 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2092 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9896 - val_loss: 0.2009 - val_categorical_accuracy: 0.9651 - 1s/epoch - 8ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2186 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2104 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2190 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2197 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2216 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.2093 - val_categorical_accuracy: 0.9638 - 924ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2033 - val_categorical_accuracy: 0.9660 - 926ms/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2087 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9826 - val_loss: 0.1826 - val_categorical_accuracy: 0.9640 - 914ms/epoch - 6ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.1971 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.1989 - val_categorical_accuracy: 0.9647 - 944ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2012 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2148 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2189 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2141 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.2080 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2193 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2090 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9838 - val_loss: 0.1841 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.1971 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2021 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.1947 - val_categorical_accuracy: 0.9665 - 908ms/epoch - 6ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.3069 - val_categorical_accuracy: 0.9431 - 920ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9873 - val_loss: 0.2030 - val_categorical_accuracy: 0.9646 - 924ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1949 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2092 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2059 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9864 - val_loss: 0.1907 - val_categorical_accuracy: 0.9627 - 964ms/epoch - 7ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1955 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1951 - val_categorical_accuracy: 0.9656 - 924ms/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1972 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2067 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1996 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2146 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.2088 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2037 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2143 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2131 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2123 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9846 - val_loss: 0.1809 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.1972 - val_categorical_accuracy: 0.9646 - 934ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2106 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2101 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2089 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2108 - val_categorical_accuracy: 0.9642 - 935ms/epoch - 7ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9891 - val_loss: 0.2118 - val_categorical_accuracy: 0.9587 - 940ms/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2156 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.2030 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.2060 - val_categorical_accuracy: 0.9633 - 934ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9903 - val_loss: 0.2027 - val_categorical_accuracy: 0.9654 - 916ms/epoch - 6ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9906 - val_loss: 0.2371 - val_categorical_accuracy: 0.9544 - 940ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2062 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2111 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2156 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9904 - val_loss: 0.2052 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2390 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9885 - val_loss: 0.2077 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2038 - val_categorical_accuracy: 0.9656 - 944ms/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2169 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2516 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2069 - val_categorical_accuracy: 0.9662 - 945ms/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2097 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2148 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2257 - val_categorical_accuracy: 0.9646 - 924ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2101 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2279 - val_categorical_accuracy: 0.9595 - 910ms/epoch - 6ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9892 - val_loss: 0.2276 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2205 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2128 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2031 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2095 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9909 - val_loss: 0.2072 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9903 - val_loss: 0.2164 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2102 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.2089 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2118 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2239 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2203 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2268 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2232 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2111 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2784 - val_categorical_accuracy: 0.9524 - 930ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9860 - val_loss: 0.1958 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2023 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2038 - val_categorical_accuracy: 0.9660 - 950ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2285 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9842 - val_loss: 0.1951 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2022 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2066 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2119 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2049 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2105 - val_categorical_accuracy: 0.9649 - 960ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2093 - val_categorical_accuracy: 0.9662 - 921ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9908 - val_loss: 0.2158 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9907 - val_loss: 0.2097 - val_categorical_accuracy: 0.9648 - 950ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9909 - val_loss: 0.2239 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2031 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2287 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2066 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2084 - val_categorical_accuracy: 0.9653 - 910ms/epoch - 6ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2174 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9780 - val_loss: 0.1729 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9904 - val_loss: 0.1966 - val_categorical_accuracy: 0.9646 - 924ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.1968 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2308 - val_categorical_accuracy: 0.9580 - 934ms/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2065 - val_categorical_accuracy: 0.9640 - 926ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2078 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2147 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2187 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2118 - val_categorical_accuracy: 0.9657 - 919ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2174 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2196 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2167 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9883 - val_loss: 0.2169 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9903 - val_loss: 0.2027 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2119 - val_categorical_accuracy: 0.9654 - 910ms/epoch - 6ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2057 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9907 - val_loss: 0.2160 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9902 - val_loss: 0.2073 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.2320 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2212 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2141 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2086 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9909 - val_loss: 0.2241 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2018 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2113 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2179 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2146 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2253 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2146 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2179 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2224 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9887 - val_loss: 0.2226 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.2163 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2149 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2104 - val_categorical_accuracy: 0.9665 - 924ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2652 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2139 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2199 - val_categorical_accuracy: 0.9648 - 950ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9890 - val_loss: 0.3163 - val_categorical_accuracy: 0.9405 - 934ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9887 - val_loss: 0.2148 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2185 - val_categorical_accuracy: 0.9637 - 945ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2053 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2244 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2182 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2330 - val_categorical_accuracy: 0.9622 - 934ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2416 - val_categorical_accuracy: 0.9591 - 926ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2254 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9765 - val_loss: 0.1706 - val_categorical_accuracy: 0.9573 - 934ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9893 - val_loss: 0.1883 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.2067 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2018 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2426 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2161 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2104 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2051 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2416 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2060 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2264 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2221 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2122 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.2142 - val_categorical_accuracy: 0.9641 - 928ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2382 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9861 - val_loss: 0.2193 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2083 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2171 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2152 - val_categorical_accuracy: 0.9657 - 920ms/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2165 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2293 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2192 - val_categorical_accuracy: 0.9644 - 924ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2324 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2222 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2133 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2267 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2181 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2087 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2121 - val_categorical_accuracy: 0.9645 - 924ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9910 - val_loss: 0.2160 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2203 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9889 - val_loss: 0.2727 - val_categorical_accuracy: 0.9461 - 920ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2392 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2166 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9914 - val_loss: 0.2177 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9908 - val_loss: 0.2315 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9912 - val_loss: 0.2270 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9803 - val_loss: 0.1964 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1934 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9909 - val_loss: 0.2052 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.2070 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2065 - val_categorical_accuracy: 0.9651 - 921ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2163 - val_categorical_accuracy: 0.9659 - 937ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2156 - val_categorical_accuracy: 0.9645 - 934ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2132 - val_categorical_accuracy: 0.9644 - 941ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2129 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2153 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2478 - val_categorical_accuracy: 0.9597 - 946ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2226 - val_categorical_accuracy: 0.9663 - 920ms/epoch - 7ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2220 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2258 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9907 - val_loss: 0.2179 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2138 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2149 - val_categorical_accuracy: 0.9644 - 924ms/epoch - 7ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2088 - val_categorical_accuracy: 0.9653 - 936ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2154 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2184 - val_categorical_accuracy: 0.9654 - 924ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9910 - val_loss: 0.2201 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2211 - val_categorical_accuracy: 0.9652 - 919ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9910 - val_loss: 0.2164 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2244 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2195 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2231 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2204 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2251 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9911 - val_loss: 0.2212 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2201 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2192 - val_categorical_accuracy: 0.9654 - 940ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9835 - val_loss: 0.1930 - val_categorical_accuracy: 0.9619 - 924ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.1970 - val_categorical_accuracy: 0.9661 - 936ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2082 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2097 - val_categorical_accuracy: 0.9661 - 924ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.2167 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2197 - val_categorical_accuracy: 0.9623 - 931ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.3129 - val_categorical_accuracy: 0.9448 - 950ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9845 - val_loss: 0.1994 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2040 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2111 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2149 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2171 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2097 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2136 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2043 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2120 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2117 - val_categorical_accuracy: 0.9662 - 944ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2238 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9913 - val_loss: 0.2243 - val_categorical_accuracy: 0.9636 - 924ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2210 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2142 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2163 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2177 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2172 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2243 - val_categorical_accuracy: 0.9634 - 914ms/epoch - 6ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2273 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9910 - val_loss: 0.2816 - val_categorical_accuracy: 0.9495 - 930ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9860 - val_loss: 0.2202 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.2199 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2176 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2122 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2202 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2171 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2193 - val_categorical_accuracy: 0.9655 - 950ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2348 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9912 - val_loss: 0.2227 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9908 - val_loss: 0.2291 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2550 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2164 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2199 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9913 - val_loss: 0.2346 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2159 - val_categorical_accuracy: 0.9650 - 911ms/epoch - 6ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2250 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9896 - val_loss: 0.5783 - val_categorical_accuracy: 0.8886 - 940ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9862 - val_loss: 0.2272 - val_categorical_accuracy: 0.9611 - 921ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2212 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2180 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9905 - val_loss: 0.2120 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9913 - val_loss: 0.2403 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9914 - val_loss: 0.2188 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9916 - val_loss: 0.2245 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9912 - val_loss: 0.2179 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2139 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2731 - val_categorical_accuracy: 0.9527 - 940ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9893 - val_loss: 0.2139 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2160 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2227 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9915 - val_loss: 0.2265 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2175 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2159 - val_categorical_accuracy: 0.9656 - 914ms/epoch - 6ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2230 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2467 - val_categorical_accuracy: 0.9605 - 924ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2280 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9826 - val_loss: 0.1950 - val_categorical_accuracy: 0.9592 - 944ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9907 - val_loss: 0.2000 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2030 - val_categorical_accuracy: 0.9660 - 924ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2183 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2164 - val_categorical_accuracy: 0.9650 - 935ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2256 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2169 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2155 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2223 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9877 - val_loss: 0.2164 - val_categorical_accuracy: 0.9631 - 920ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2137 - val_categorical_accuracy: 0.9661 - 929ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2239 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2284 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2205 - val_categorical_accuracy: 0.9650 - 914ms/epoch - 6ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2301 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2218 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2243 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2178 - val_categorical_accuracy: 0.9658 - 944ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9908 - val_loss: 0.2442 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2333 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2330 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9909 - val_loss: 0.2251 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2269 - val_categorical_accuracy: 0.9665 - 914ms/epoch - 6ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2367 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2307 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2256 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2251 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2276 - val_categorical_accuracy: 0.9638 - 950ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2412 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9914 - val_loss: 0.2334 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2390 - val_categorical_accuracy: 0.9638 - 924ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2272 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9843 - val_loss: 0.1945 - val_categorical_accuracy: 0.9646 - 924ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2084 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9920 - val_loss: 0.2173 - val_categorical_accuracy: 0.9640 - 934ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2220 - val_categorical_accuracy: 0.9651 - 916ms/epoch - 6ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2244 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9920 - val_loss: 0.2212 - val_categorical_accuracy: 0.9654 - 954ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2263 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2273 - val_categorical_accuracy: 0.9653 - 936ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9913 - val_loss: 0.2309 - val_categorical_accuracy: 0.9658 - 928ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9911 - val_loss: 0.2305 - val_categorical_accuracy: 0.9630 - 934ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2305 - val_categorical_accuracy: 0.9624 - 935ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2190 - val_categorical_accuracy: 0.9658 - 934ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2281 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9812 - val_loss: 0.1891 - val_categorical_accuracy: 0.9530 - 930ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2019 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2118 - val_categorical_accuracy: 0.9651 - 937ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2144 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2190 - val_categorical_accuracy: 0.9641 - 910ms/epoch - 6ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9913 - val_loss: 0.2192 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2156 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2359 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2176 - val_categorical_accuracy: 0.9652 - 930ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9917 - val_loss: 0.2192 - val_categorical_accuracy: 0.9654 - 955ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2435 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2318 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2197 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2389 - val_categorical_accuracy: 0.9626 - 934ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2408 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9906 - val_loss: 0.2261 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2147 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2215 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2272 - val_categorical_accuracy: 0.9643 - 1s/epoch - 8ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2416 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2237 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9919 - val_loss: 0.2298 - val_categorical_accuracy: 0.9661 - 934ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9898 - val_loss: 0.2222 - val_categorical_accuracy: 0.9633 - 956ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2198 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2355 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9915 - val_loss: 0.2264 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2322 - val_categorical_accuracy: 0.9639 - 944ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9917 - val_loss: 0.2291 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9920 - val_loss: 0.2323 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2371 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9893 - val_loss: 0.2192 - val_categorical_accuracy: 0.9643 - 914ms/epoch - 6ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9899 - val_loss: 0.2264 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9906 - val_loss: 0.2388 - val_categorical_accuracy: 0.9611 - 924ms/epoch - 7ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2275 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9917 - val_loss: 0.2290 - val_categorical_accuracy: 0.9657 - 924ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2213 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9897 - val_loss: 0.2260 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2409 - val_categorical_accuracy: 0.9589 - 924ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2383 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2235 - val_categorical_accuracy: 0.9647 - 950ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2226 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2298 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2476 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2242 - val_categorical_accuracy: 0.9652 - 928ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2224 - val_categorical_accuracy: 0.9658 - 930ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9918 - val_loss: 0.2305 - val_categorical_accuracy: 0.9649 - 935ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2280 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9915 - val_loss: 0.2345 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2282 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2278 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2319 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9818 - val_loss: 0.1982 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9919 - val_loss: 0.2157 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9919 - val_loss: 0.2111 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9912 - val_loss: 0.2091 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9922 - val_loss: 0.2245 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2206 - val_categorical_accuracy: 0.9654 - 950ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9917 - val_loss: 0.2222 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9910 - val_loss: 0.2191 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2457 - val_categorical_accuracy: 0.9602 - 940ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2164 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9915 - val_loss: 0.2229 - val_categorical_accuracy: 0.9655 - 920ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2259 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9915 - val_loss: 0.2316 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2221 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2261 - val_categorical_accuracy: 0.9640 - 921ms/epoch - 7ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2280 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2454 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2326 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2285 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9902 - val_loss: 0.2356 - val_categorical_accuracy: 0.9600 - 940ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2416 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2185 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2341 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2292 - val_categorical_accuracy: 0.9658 - 920ms/epoch - 7ms/step
Epoch 1435/1500
Epoch 1436/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2315 - val_categorical_accuracy: 0.9636 - 950ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2316 - val_categorical_accuracy: 0.9607 - 934ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2309 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2267 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2553 - val_categorical_accuracy: 0.9539 - 922ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2302 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9914 - val_loss: 0.2267 - val_categorical_accuracy: 0.9652 - 934ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2529 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9917 - val_loss: 0.2289 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0989 - categorical_accuracy: 0.9721 - val_loss: 0.1935 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.2053 - val_categorical_accuracy: 0.9642 - 944ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2133 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2269 - val_categorical_accuracy: 0.9634 - 955ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2178 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2078 - val_categorical_accuracy: 0.9648 - 934ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2183 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2320 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2120 - val_categorical_accuracy: 0.9654 - 950ms/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9919 - val_loss: 0.2230 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9919 - val_loss: 0.2244 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2354 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2369 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2235 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9826 - val_loss: 0.2033 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2105 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2193 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9920 - val_loss: 0.2226 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9920 - val_loss: 0.2212 - val_categorical_accuracy: 0.9638 - 950ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9919 - val_loss: 0.2202 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2274 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9920 - val_loss: 0.2282 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9917 - val_loss: 0.2245 - val_categorical_accuracy: 0.9642 - 928ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9891 - val_loss: 0.2102 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9915 - val_loss: 0.2168 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2225 - val_categorical_accuracy: 0.9631 - 934ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2195 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2269 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9846 - val_loss: 0.1904 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9914 - val_loss: 0.2088 - val_categorical_accuracy: 0.9641 - 915ms/epoch - 6ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9922 - val_loss: 0.2285 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0199 - categorical_accuracy: 0.9921 - val_loss: 0.2173 - val_categorical_accuracy: 0.9659 - 934ms/epoch - 7ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2392 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9921 - val_loss: 0.2571 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9919 - val_loss: 0.2367 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0199 - categorical_accuracy: 0.9921 - val_loss: 0.2290 - val_categorical_accuracy: 0.9648 - 944ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2241 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9912 - val_loss: 0.2242 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2328 - val_categorical_accuracy: 0.9628 - 933ms/epoch - 7ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2320 - val_categorical_accuracy: 0.9650 - 927ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9919 - val_loss: 0.2193 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9912 - val_loss: 0.2262 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0198 - categorical_accuracy: 0.9922 - val_loss: 0.2288 - val_categorical_accuracy: 0.9629 - 925ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2263 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9920 - val_loss: 0.2252 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2272 - val_categorical_accuracy: 0.9652 - 946ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9916 - val_loss: 0.2295 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0199 - categorical_accuracy: 0.9921 - val_loss: 0.2371 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9848 - val_loss: 0.2092 - val_categorical_accuracy: 0.9494 - 950ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2161 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2129 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2213 - val_categorical_accuracy: 0.9636 - 920ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9916 - val_loss: 0.2208 - val_categorical_accuracy: 0.9661 - 930ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2268 - val_categorical_accuracy: 0.9648 - 925ms/epoch - 7ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9920 - val_loss: 0.2281 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9919 - val_loss: 0.2217 - val_categorical_accuracy: 0.9652 - 954ms/epoch - 7ms/step
processing fold # 8 
Epoch 1/1500
141/141 - 2s - loss: 1.9744 - categorical_accuracy: 0.2530 - val_loss: 1.7679 - val_categorical_accuracy: 0.3359 - 2s/epoch - 12ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6522 - categorical_accuracy: 0.3726 - val_loss: 1.5053 - val_categorical_accuracy: 0.4265 - 1000ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.4560 - categorical_accuracy: 0.4442 - val_loss: 1.5116 - val_categorical_accuracy: 0.4228 - 950ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2740 - categorical_accuracy: 0.5122 - val_loss: 1.1247 - val_categorical_accuracy: 0.5631 - 930ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.2439 - categorical_accuracy: 0.5399 - val_loss: 1.0558 - val_categorical_accuracy: 0.6178 - 940ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.2260 - categorical_accuracy: 0.5666 - val_loss: 1.2401 - val_categorical_accuracy: 0.5610 - 930ms/epoch - 7ms/step
Epoch 7/1500
141/141 - 1s - loss: 1.1616 - categorical_accuracy: 0.5734 - val_loss: 0.9476 - val_categorical_accuracy: 0.6315 - 924ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 1.0190 - categorical_accuracy: 0.6229 - val_loss: 1.5071 - val_categorical_accuracy: 0.4359 - 920ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.9418 - categorical_accuracy: 0.6508 - val_loss: 0.8854 - val_categorical_accuracy: 0.6706 - 970ms/epoch - 7ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.8110 - categorical_accuracy: 0.6993 - val_loss: 0.7000 - val_categorical_accuracy: 0.7332 - 930ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.7018 - categorical_accuracy: 0.7347 - val_loss: 0.6513 - val_categorical_accuracy: 0.7555 - 960ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 1.2044 - categorical_accuracy: 0.5760 - val_loss: 0.7759 - val_categorical_accuracy: 0.7109 - 960ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.6793 - categorical_accuracy: 0.7471 - val_loss: 0.6354 - val_categorical_accuracy: 0.7646 - 950ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.7523 - categorical_accuracy: 0.7330 - val_loss: 0.9893 - val_categorical_accuracy: 0.6578 - 930ms/epoch - 7ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5987 - categorical_accuracy: 0.7800 - val_loss: 0.5439 - val_categorical_accuracy: 0.7955 - 944ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.8063 - categorical_accuracy: 0.7244 - val_loss: 0.6198 - val_categorical_accuracy: 0.7781 - 926ms/epoch - 7ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5602 - categorical_accuracy: 0.7949 - val_loss: 1.6954 - val_categorical_accuracy: 0.5883 - 930ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.5621 - categorical_accuracy: 0.7999 - val_loss: 0.4877 - val_categorical_accuracy: 0.8151 - 930ms/epoch - 7ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4854 - categorical_accuracy: 0.8204 - val_loss: 0.5366 - val_categorical_accuracy: 0.7964 - 950ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4890 - categorical_accuracy: 0.8251 - val_loss: 0.4382 - val_categorical_accuracy: 0.8417 - 934ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4363 - categorical_accuracy: 0.8389 - val_loss: 0.4122 - val_categorical_accuracy: 0.8507 - 920ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 1.5230 - categorical_accuracy: 0.5335 - val_loss: 1.4199 - val_categorical_accuracy: 0.4918 - 940ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 1.1604 - categorical_accuracy: 0.5780 - val_loss: 0.9294 - val_categorical_accuracy: 0.6583 - 930ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.9167 - categorical_accuracy: 0.6788 - val_loss: 0.7305 - val_categorical_accuracy: 0.7360 - 930ms/epoch - 7ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.6578 - categorical_accuracy: 0.7559 - val_loss: 0.6169 - val_categorical_accuracy: 0.7754 - 940ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.5854 - categorical_accuracy: 0.7830 - val_loss: 0.7195 - val_categorical_accuracy: 0.7384 - 940ms/epoch - 7ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.5432 - categorical_accuracy: 0.7996 - val_loss: 0.4734 - val_categorical_accuracy: 0.8299 - 920ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.5055 - categorical_accuracy: 0.8137 - val_loss: 0.4783 - val_categorical_accuracy: 0.8241 - 924ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.4672 - categorical_accuracy: 0.8283 - val_loss: 0.4766 - val_categorical_accuracy: 0.8257 - 950ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.4540 - categorical_accuracy: 0.8341 - val_loss: 0.4919 - val_categorical_accuracy: 0.8198 - 918ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4277 - categorical_accuracy: 0.8439 - val_loss: 0.4414 - val_categorical_accuracy: 0.8372 - 916ms/epoch - 6ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.5361 - categorical_accuracy: 0.8204 - val_loss: 0.4973 - val_categorical_accuracy: 0.8353 - 950ms/epoch - 7ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3927 - categorical_accuracy: 0.8589 - val_loss: 0.4031 - val_categorical_accuracy: 0.8508 - 924ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3793 - categorical_accuracy: 0.8623 - val_loss: 0.3513 - val_categorical_accuracy: 0.8731 - 940ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.4529 - categorical_accuracy: 0.8488 - val_loss: 0.3495 - val_categorical_accuracy: 0.8752 - 934ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3535 - categorical_accuracy: 0.8722 - val_loss: 0.3324 - val_categorical_accuracy: 0.8815 - 940ms/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.4174 - categorical_accuracy: 0.8579 - val_loss: 0.3722 - val_categorical_accuracy: 0.8712 - 920ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3277 - categorical_accuracy: 0.8823 - val_loss: 0.3952 - val_categorical_accuracy: 0.8440 - 930ms/epoch - 7ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3562 - categorical_accuracy: 0.8772 - val_loss: 0.3118 - val_categorical_accuracy: 0.8921 - 940ms/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.3097 - categorical_accuracy: 0.8886 - val_loss: 0.3097 - val_categorical_accuracy: 0.8898 - 930ms/epoch - 7ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2963 - categorical_accuracy: 0.8929 - val_loss: 0.2882 - val_categorical_accuracy: 0.8973 - 924ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2896 - categorical_accuracy: 0.8953 - val_loss: 0.3228 - val_categorical_accuracy: 0.8863 - 950ms/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.3084 - categorical_accuracy: 0.8926 - val_loss: 0.3634 - val_categorical_accuracy: 0.8697 - 920ms/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2751 - categorical_accuracy: 0.9013 - val_loss: 0.2770 - val_categorical_accuracy: 0.9005 - 930ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2800 - categorical_accuracy: 0.9024 - val_loss: 0.3488 - val_categorical_accuracy: 0.8741 - 930ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2765 - categorical_accuracy: 0.9027 - val_loss: 0.2684 - val_categorical_accuracy: 0.9064 - 928ms/epoch - 7ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.3465 - categorical_accuracy: 0.8879 - val_loss: 0.2640 - val_categorical_accuracy: 0.9097 - 920ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2392 - categorical_accuracy: 0.9159 - val_loss: 0.3533 - val_categorical_accuracy: 0.8712 - 920ms/epoch - 7ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2540 - categorical_accuracy: 0.9098 - val_loss: 0.2426 - val_categorical_accuracy: 0.9154 - 945ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2373 - categorical_accuracy: 0.9161 - val_loss: 0.6246 - val_categorical_accuracy: 0.8136 - 920ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.4893 - categorical_accuracy: 0.8540 - val_loss: 0.2643 - val_categorical_accuracy: 0.9087 - 920ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2356 - categorical_accuracy: 0.9172 - val_loss: 0.3281 - val_categorical_accuracy: 0.8850 - 950ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2346 - categorical_accuracy: 0.9191 - val_loss: 0.2324 - val_categorical_accuracy: 0.9201 - 930ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2159 - categorical_accuracy: 0.9246 - val_loss: 0.2328 - val_categorical_accuracy: 0.9218 - 930ms/epoch - 7ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2206 - categorical_accuracy: 0.9230 - val_loss: 0.2360 - val_categorical_accuracy: 0.9189 - 920ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2255 - categorical_accuracy: 0.9215 - val_loss: 0.2231 - val_categorical_accuracy: 0.9228 - 930ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1975 - categorical_accuracy: 0.9308 - val_loss: 0.3260 - val_categorical_accuracy: 0.8849 - 1s/epoch - 8ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2409 - categorical_accuracy: 0.9185 - val_loss: 0.2247 - val_categorical_accuracy: 0.9252 - 940ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1920 - categorical_accuracy: 0.9332 - val_loss: 0.2446 - val_categorical_accuracy: 0.9142 - 950ms/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2175 - categorical_accuracy: 0.9264 - val_loss: 0.2262 - val_categorical_accuracy: 0.9231 - 924ms/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1889 - categorical_accuracy: 0.9347 - val_loss: 0.2363 - val_categorical_accuracy: 0.9186 - 920ms/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1814 - categorical_accuracy: 0.9366 - val_loss: 0.2447 - val_categorical_accuracy: 0.9168 - 954ms/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.2419 - categorical_accuracy: 0.9224 - val_loss: 0.2322 - val_categorical_accuracy: 0.9221 - 942ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1809 - categorical_accuracy: 0.9379 - val_loss: 0.2046 - val_categorical_accuracy: 0.9313 - 940ms/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1731 - categorical_accuracy: 0.9408 - val_loss: 0.1943 - val_categorical_accuracy: 0.9330 - 954ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1909 - categorical_accuracy: 0.9353 - val_loss: 0.1964 - val_categorical_accuracy: 0.9343 - 930ms/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.2171 - categorical_accuracy: 0.9299 - val_loss: 0.2881 - val_categorical_accuracy: 0.9021 - 930ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1633 - categorical_accuracy: 0.9448 - val_loss: 0.1898 - val_categorical_accuracy: 0.9382 - 930ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1653 - categorical_accuracy: 0.9428 - val_loss: 0.2328 - val_categorical_accuracy: 0.9186 - 960ms/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1986 - categorical_accuracy: 0.9356 - val_loss: 0.2216 - val_categorical_accuracy: 0.9234 - 940ms/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1512 - categorical_accuracy: 0.9480 - val_loss: 0.2892 - val_categorical_accuracy: 0.8985 - 930ms/epoch - 7ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1693 - categorical_accuracy: 0.9430 - val_loss: 0.2188 - val_categorical_accuracy: 0.9281 - 950ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1538 - categorical_accuracy: 0.9463 - val_loss: 0.1917 - val_categorical_accuracy: 0.9356 - 934ms/epoch - 7ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1599 - categorical_accuracy: 0.9453 - val_loss: 0.1815 - val_categorical_accuracy: 0.9380 - 950ms/epoch - 7ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1526 - categorical_accuracy: 0.9478 - val_loss: 0.1991 - val_categorical_accuracy: 0.9317 - 950ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1402 - categorical_accuracy: 0.9518 - val_loss: 0.1811 - val_categorical_accuracy: 0.9383 - 950ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1619 - categorical_accuracy: 0.9458 - val_loss: 0.2043 - val_categorical_accuracy: 0.9313 - 930ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1440 - categorical_accuracy: 0.9516 - val_loss: 0.1874 - val_categorical_accuracy: 0.9371 - 940ms/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1784 - categorical_accuracy: 0.9439 - val_loss: 0.1898 - val_categorical_accuracy: 0.9355 - 964ms/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1483 - categorical_accuracy: 0.9495 - val_loss: 0.1938 - val_categorical_accuracy: 0.9348 - 926ms/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1348 - categorical_accuracy: 0.9536 - val_loss: 0.1687 - val_categorical_accuracy: 0.9451 - 930ms/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1952 - categorical_accuracy: 0.9400 - val_loss: 0.1853 - val_categorical_accuracy: 0.9367 - 935ms/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1266 - categorical_accuracy: 0.9567 - val_loss: 0.2294 - val_categorical_accuracy: 0.9264 - 920ms/epoch - 7ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1340 - categorical_accuracy: 0.9542 - val_loss: 0.2428 - val_categorical_accuracy: 0.9182 - 924ms/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1294 - categorical_accuracy: 0.9559 - val_loss: 0.5348 - val_categorical_accuracy: 0.8394 - 950ms/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1459 - categorical_accuracy: 0.9527 - val_loss: 0.1885 - val_categorical_accuracy: 0.9385 - 920ms/epoch - 7ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1324 - categorical_accuracy: 0.9545 - val_loss: 0.3228 - val_categorical_accuracy: 0.8912 - 930ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1218 - categorical_accuracy: 0.9582 - val_loss: 0.1688 - val_categorical_accuracy: 0.9477 - 920ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1546 - categorical_accuracy: 0.9500 - val_loss: 0.1795 - val_categorical_accuracy: 0.9416 - 960ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.2388 - categorical_accuracy: 0.9327 - val_loss: 0.1782 - val_categorical_accuracy: 0.9426 - 930ms/epoch - 7ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1199 - categorical_accuracy: 0.9590 - val_loss: 0.1928 - val_categorical_accuracy: 0.9363 - 930ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1407 - categorical_accuracy: 0.9530 - val_loss: 0.1675 - val_categorical_accuracy: 0.9443 - 950ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1107 - categorical_accuracy: 0.9625 - val_loss: 0.1966 - val_categorical_accuracy: 0.9371 - 930ms/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1277 - categorical_accuracy: 0.9563 - val_loss: 0.2752 - val_categorical_accuracy: 0.9068 - 914ms/epoch - 6ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1303 - categorical_accuracy: 0.9558 - val_loss: 0.1547 - val_categorical_accuracy: 0.9514 - 924ms/epoch - 7ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1115 - categorical_accuracy: 0.9625 - val_loss: 0.1812 - val_categorical_accuracy: 0.9400 - 920ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1070 - categorical_accuracy: 0.9636 - val_loss: 0.1691 - val_categorical_accuracy: 0.9468 - 920ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1335 - categorical_accuracy: 0.9556 - val_loss: 0.1799 - val_categorical_accuracy: 0.9390 - 940ms/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1076 - categorical_accuracy: 0.9635 - val_loss: 0.1938 - val_categorical_accuracy: 0.9381 - 950ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1470 - categorical_accuracy: 0.9542 - val_loss: 0.1733 - val_categorical_accuracy: 0.9442 - 950ms/epoch - 7ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1071 - categorical_accuracy: 0.9641 - val_loss: 0.1590 - val_categorical_accuracy: 0.9481 - 940ms/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1120 - categorical_accuracy: 0.9620 - val_loss: 0.1741 - val_categorical_accuracy: 0.9447 - 950ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1347 - categorical_accuracy: 0.9569 - val_loss: 0.1663 - val_categorical_accuracy: 0.9461 - 930ms/epoch - 7ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.0998 - categorical_accuracy: 0.9660 - val_loss: 0.3467 - val_categorical_accuracy: 0.8996 - 950ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9635 - val_loss: 0.2297 - val_categorical_accuracy: 0.9272 - 950ms/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1294 - categorical_accuracy: 0.9588 - val_loss: 0.1589 - val_categorical_accuracy: 0.9505 - 940ms/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9663 - val_loss: 0.1551 - val_categorical_accuracy: 0.9510 - 930ms/epoch - 7ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1194 - categorical_accuracy: 0.9595 - val_loss: 0.1838 - val_categorical_accuracy: 0.9409 - 920ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9691 - val_loss: 0.1821 - val_categorical_accuracy: 0.9432 - 950ms/epoch - 7ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9662 - val_loss: 0.3099 - val_categorical_accuracy: 0.9032 - 920ms/epoch - 7ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1175 - categorical_accuracy: 0.9605 - val_loss: 0.2033 - val_categorical_accuracy: 0.9339 - 927ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9692 - val_loss: 0.1920 - val_categorical_accuracy: 0.9404 - 951ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.0968 - categorical_accuracy: 0.9667 - val_loss: 0.1580 - val_categorical_accuracy: 0.9515 - 920ms/epoch - 7ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1362 - categorical_accuracy: 0.9569 - val_loss: 0.1652 - val_categorical_accuracy: 0.9465 - 930ms/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.0870 - categorical_accuracy: 0.9707 - val_loss: 0.1592 - val_categorical_accuracy: 0.9515 - 930ms/epoch - 7ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9602 - val_loss: 0.1663 - val_categorical_accuracy: 0.9479 - 950ms/epoch - 7ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9679 - val_loss: 0.1645 - val_categorical_accuracy: 0.9482 - 940ms/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1054 - categorical_accuracy: 0.9656 - val_loss: 0.1646 - val_categorical_accuracy: 0.9486 - 940ms/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.0893 - categorical_accuracy: 0.9698 - val_loss: 0.1793 - val_categorical_accuracy: 0.9421 - 950ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9673 - val_loss: 0.1581 - val_categorical_accuracy: 0.9533 - 930ms/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1219 - categorical_accuracy: 0.9613 - val_loss: 0.1752 - val_categorical_accuracy: 0.9420 - 930ms/epoch - 7ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0868 - categorical_accuracy: 0.9706 - val_loss: 0.1546 - val_categorical_accuracy: 0.9533 - 940ms/epoch - 7ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9672 - val_loss: 0.1651 - val_categorical_accuracy: 0.9466 - 920ms/epoch - 7ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9679 - val_loss: 0.1747 - val_categorical_accuracy: 0.9445 - 920ms/epoch - 7ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0829 - categorical_accuracy: 0.9716 - val_loss: 0.2188 - val_categorical_accuracy: 0.9328 - 930ms/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1279 - categorical_accuracy: 0.9601 - val_loss: 0.1609 - val_categorical_accuracy: 0.9509 - 920ms/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9711 - val_loss: 0.1627 - val_categorical_accuracy: 0.9513 - 920ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1205 - categorical_accuracy: 0.9630 - val_loss: 0.1696 - val_categorical_accuracy: 0.9470 - 925ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9716 - val_loss: 0.1665 - val_categorical_accuracy: 0.9470 - 946ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0821 - categorical_accuracy: 0.9720 - val_loss: 0.1990 - val_categorical_accuracy: 0.9372 - 920ms/epoch - 7ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.0935 - categorical_accuracy: 0.9679 - val_loss: 0.1800 - val_categorical_accuracy: 0.9440 - 940ms/epoch - 7ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1095 - categorical_accuracy: 0.9653 - val_loss: 0.1808 - val_categorical_accuracy: 0.9419 - 940ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9728 - val_loss: 0.1796 - val_categorical_accuracy: 0.9426 - 925ms/epoch - 7ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9732 - val_loss: 0.1565 - val_categorical_accuracy: 0.9526 - 920ms/epoch - 7ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9707 - val_loss: 0.1730 - val_categorical_accuracy: 0.9467 - 920ms/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0998 - categorical_accuracy: 0.9669 - val_loss: 0.1591 - val_categorical_accuracy: 0.9515 - 930ms/epoch - 7ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1231 - categorical_accuracy: 0.9632 - val_loss: 0.1664 - val_categorical_accuracy: 0.9467 - 935ms/epoch - 7ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9749 - val_loss: 0.2862 - val_categorical_accuracy: 0.9144 - 920ms/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.2111 - categorical_accuracy: 0.9416 - val_loss: 0.1568 - val_categorical_accuracy: 0.9526 - 954ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9749 - val_loss: 0.1554 - val_categorical_accuracy: 0.9521 - 926ms/epoch - 7ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9734 - val_loss: 0.1629 - val_categorical_accuracy: 0.9523 - 930ms/epoch - 7ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0749 - categorical_accuracy: 0.9745 - val_loss: 0.1710 - val_categorical_accuracy: 0.9495 - 931ms/epoch - 7ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0884 - categorical_accuracy: 0.9704 - val_loss: 0.1782 - val_categorical_accuracy: 0.9445 - 920ms/epoch - 7ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9694 - val_loss: 0.4497 - val_categorical_accuracy: 0.8621 - 930ms/epoch - 7ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9718 - val_loss: 0.1649 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9751 - val_loss: 0.1674 - val_categorical_accuracy: 0.9532 - 930ms/epoch - 7ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1056 - categorical_accuracy: 0.9657 - val_loss: 0.1513 - val_categorical_accuracy: 0.9545 - 920ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9748 - val_loss: 0.1743 - val_categorical_accuracy: 0.9513 - 934ms/epoch - 7ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9727 - val_loss: 0.1499 - val_categorical_accuracy: 0.9538 - 950ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9767 - val_loss: 0.1535 - val_categorical_accuracy: 0.9551 - 945ms/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1094 - categorical_accuracy: 0.9670 - val_loss: 0.1647 - val_categorical_accuracy: 0.9492 - 920ms/epoch - 7ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9764 - val_loss: 0.1658 - val_categorical_accuracy: 0.9511 - 930ms/epoch - 7ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9750 - val_loss: 0.1713 - val_categorical_accuracy: 0.9514 - 920ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9758 - val_loss: 0.1535 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9691 - val_loss: 0.1563 - val_categorical_accuracy: 0.9532 - 914ms/epoch - 6ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9744 - val_loss: 0.1719 - val_categorical_accuracy: 0.9499 - 930ms/epoch - 7ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0713 - categorical_accuracy: 0.9755 - val_loss: 0.1520 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.1131 - categorical_accuracy: 0.9649 - val_loss: 0.1666 - val_categorical_accuracy: 0.9502 - 930ms/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9773 - val_loss: 0.1611 - val_categorical_accuracy: 0.9526 - 955ms/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9739 - val_loss: 0.1523 - val_categorical_accuracy: 0.9578 - 940ms/epoch - 7ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9770 - val_loss: 0.1558 - val_categorical_accuracy: 0.9555 - 924ms/epoch - 7ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0953 - categorical_accuracy: 0.9698 - val_loss: 0.1767 - val_categorical_accuracy: 0.9483 - 920ms/epoch - 7ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9762 - val_loss: 0.1785 - val_categorical_accuracy: 0.9478 - 934ms/epoch - 7ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9765 - val_loss: 0.1588 - val_categorical_accuracy: 0.9565 - 930ms/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9761 - val_loss: 0.1615 - val_categorical_accuracy: 0.9546 - 934ms/epoch - 7ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9761 - val_loss: 0.1522 - val_categorical_accuracy: 0.9587 - 940ms/epoch - 7ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9770 - val_loss: 0.1686 - val_categorical_accuracy: 0.9529 - 924ms/epoch - 7ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9762 - val_loss: 0.1613 - val_categorical_accuracy: 0.9568 - 926ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9729 - val_loss: 1.0483 - val_categorical_accuracy: 0.7726 - 940ms/epoch - 7ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9704 - val_loss: 0.1661 - val_categorical_accuracy: 0.9503 - 934ms/epoch - 7ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9739 - val_loss: 0.1826 - val_categorical_accuracy: 0.9471 - 940ms/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9763 - val_loss: 0.1620 - val_categorical_accuracy: 0.9553 - 934ms/epoch - 7ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0897 - categorical_accuracy: 0.9712 - val_loss: 0.2327 - val_categorical_accuracy: 0.9257 - 950ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9773 - val_loss: 0.1664 - val_categorical_accuracy: 0.9526 - 934ms/epoch - 7ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9776 - val_loss: 0.1771 - val_categorical_accuracy: 0.9511 - 930ms/epoch - 7ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9763 - val_loss: 0.1655 - val_categorical_accuracy: 0.9536 - 940ms/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9781 - val_loss: 0.1650 - val_categorical_accuracy: 0.9534 - 924ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9782 - val_loss: 0.1672 - val_categorical_accuracy: 0.9553 - 935ms/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9757 - val_loss: 0.1702 - val_categorical_accuracy: 0.9523 - 940ms/epoch - 7ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9777 - val_loss: 0.1705 - val_categorical_accuracy: 0.9527 - 934ms/epoch - 7ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9783 - val_loss: 0.1898 - val_categorical_accuracy: 0.9478 - 930ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9701 - val_loss: 0.1621 - val_categorical_accuracy: 0.9517 - 934ms/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9783 - val_loss: 0.1815 - val_categorical_accuracy: 0.9494 - 946ms/epoch - 7ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9756 - val_loss: 0.1535 - val_categorical_accuracy: 0.9568 - 930ms/epoch - 7ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9782 - val_loss: 0.1627 - val_categorical_accuracy: 0.9542 - 925ms/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9696 - val_loss: 0.1625 - val_categorical_accuracy: 0.9543 - 940ms/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9796 - val_loss: 0.1595 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9791 - val_loss: 0.1651 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9778 - val_loss: 0.2054 - val_categorical_accuracy: 0.9442 - 930ms/epoch - 7ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9763 - val_loss: 0.1697 - val_categorical_accuracy: 0.9529 - 930ms/epoch - 7ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9787 - val_loss: 0.1529 - val_categorical_accuracy: 0.9591 - 924ms/epoch - 7ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9778 - val_loss: 0.1652 - val_categorical_accuracy: 0.9549 - 920ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9790 - val_loss: 0.1509 - val_categorical_accuracy: 0.9597 - 940ms/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9708 - val_loss: 0.1658 - val_categorical_accuracy: 0.9517 - 930ms/epoch - 7ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9792 - val_loss: 0.1607 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9788 - val_loss: 0.1584 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9802 - val_loss: 0.1616 - val_categorical_accuracy: 0.9560 - 934ms/epoch - 7ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0799 - categorical_accuracy: 0.9732 - val_loss: 0.1560 - val_categorical_accuracy: 0.9560 - 926ms/epoch - 7ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9799 - val_loss: 0.1735 - val_categorical_accuracy: 0.9518 - 930ms/epoch - 7ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9717 - val_loss: 0.1605 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9799 - val_loss: 0.1576 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9805 - val_loss: 0.1576 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9795 - val_loss: 0.1765 - val_categorical_accuracy: 0.9542 - 940ms/epoch - 7ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9774 - val_loss: 0.1486 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0904 - categorical_accuracy: 0.9711 - val_loss: 0.1517 - val_categorical_accuracy: 0.9556 - 920ms/epoch - 7ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9804 - val_loss: 0.1762 - val_categorical_accuracy: 0.9499 - 945ms/epoch - 7ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9777 - val_loss: 0.1604 - val_categorical_accuracy: 0.9561 - 920ms/epoch - 7ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9804 - val_loss: 0.1553 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9797 - val_loss: 0.2001 - val_categorical_accuracy: 0.9462 - 930ms/epoch - 7ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9795 - val_loss: 0.1535 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9805 - val_loss: 0.7404 - val_categorical_accuracy: 0.8374 - 920ms/epoch - 7ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9740 - val_loss: 0.1627 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9800 - val_loss: 0.1579 - val_categorical_accuracy: 0.9575 - 940ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9811 - val_loss: 0.1886 - val_categorical_accuracy: 0.9526 - 950ms/epoch - 7ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.1249 - categorical_accuracy: 0.9658 - val_loss: 0.1578 - val_categorical_accuracy: 0.9541 - 935ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9808 - val_loss: 0.1634 - val_categorical_accuracy: 0.9581 - 950ms/epoch - 7ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9802 - val_loss: 0.1737 - val_categorical_accuracy: 0.9539 - 924ms/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9806 - val_loss: 0.1612 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9811 - val_loss: 0.1797 - val_categorical_accuracy: 0.9540 - 934ms/epoch - 7ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9752 - val_loss: 0.1641 - val_categorical_accuracy: 0.9548 - 940ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9802 - val_loss: 0.1606 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9743 - val_loss: 0.1549 - val_categorical_accuracy: 0.9549 - 930ms/epoch - 7ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9807 - val_loss: 0.1895 - val_categorical_accuracy: 0.9480 - 955ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9799 - val_loss: 0.1736 - val_categorical_accuracy: 0.9521 - 930ms/epoch - 7ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9810 - val_loss: 0.1730 - val_categorical_accuracy: 0.9556 - 930ms/epoch - 7ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9811 - val_loss: 0.1569 - val_categorical_accuracy: 0.9607 - 940ms/epoch - 7ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9813 - val_loss: 0.1647 - val_categorical_accuracy: 0.9581 - 934ms/epoch - 7ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9783 - val_loss: 0.1637 - val_categorical_accuracy: 0.9594 - 926ms/epoch - 7ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9800 - val_loss: 0.1920 - val_categorical_accuracy: 0.9477 - 940ms/epoch - 7ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0730 - categorical_accuracy: 0.9761 - val_loss: 0.1843 - val_categorical_accuracy: 0.9494 - 944ms/epoch - 7ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0931 - categorical_accuracy: 0.9717 - val_loss: 0.1520 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9819 - val_loss: 0.1595 - val_categorical_accuracy: 0.9582 - 924ms/epoch - 7ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9811 - val_loss: 0.1898 - val_categorical_accuracy: 0.9510 - 950ms/epoch - 7ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.1621 - val_categorical_accuracy: 0.9571 - 910ms/epoch - 6ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9807 - val_loss: 0.1592 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9811 - val_loss: 0.1817 - val_categorical_accuracy: 0.9533 - 930ms/epoch - 7ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9817 - val_loss: 0.1641 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.1678 - val_categorical_accuracy: 0.9588 - 920ms/epoch - 7ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9816 - val_loss: 0.2049 - val_categorical_accuracy: 0.9454 - 935ms/epoch - 7ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9795 - val_loss: 0.1675 - val_categorical_accuracy: 0.9585 - 946ms/epoch - 7ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.1359 - categorical_accuracy: 0.9621 - val_loss: 0.1547 - val_categorical_accuracy: 0.9573 - 925ms/epoch - 7ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9814 - val_loss: 0.1630 - val_categorical_accuracy: 0.9571 - 920ms/epoch - 7ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9820 - val_loss: 0.1557 - val_categorical_accuracy: 0.9609 - 950ms/epoch - 7ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9821 - val_loss: 0.1539 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9821 - val_loss: 0.1763 - val_categorical_accuracy: 0.9562 - 924ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9812 - val_loss: 0.1886 - val_categorical_accuracy: 0.9535 - 930ms/epoch - 7ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9821 - val_loss: 0.1789 - val_categorical_accuracy: 0.9553 - 920ms/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9788 - val_loss: 0.1629 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9824 - val_loss: 0.1690 - val_categorical_accuracy: 0.9568 - 934ms/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1810 - val_categorical_accuracy: 0.9547 - 960ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0838 - categorical_accuracy: 0.9743 - val_loss: 0.1645 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9822 - val_loss: 0.1843 - val_categorical_accuracy: 0.9546 - 930ms/epoch - 7ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9736 - val_loss: 0.1812 - val_categorical_accuracy: 0.9509 - 950ms/epoch - 7ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9816 - val_loss: 0.1690 - val_categorical_accuracy: 0.9555 - 920ms/epoch - 7ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9826 - val_loss: 0.1622 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9821 - val_loss: 0.1792 - val_categorical_accuracy: 0.9557 - 910ms/epoch - 6ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9817 - val_loss: 0.1573 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1714 - val_categorical_accuracy: 0.9565 - 920ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9808 - val_loss: 0.1766 - val_categorical_accuracy: 0.9576 - 920ms/epoch - 7ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9826 - val_loss: 0.1700 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9820 - val_loss: 0.1706 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0793 - categorical_accuracy: 0.9748 - val_loss: 0.1660 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1587 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.1690 - val_categorical_accuracy: 0.9562 - 920ms/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1672 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9814 - val_loss: 0.1612 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9824 - val_loss: 0.1876 - val_categorical_accuracy: 0.9549 - 940ms/epoch - 7ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9820 - val_loss: 0.1641 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9761 - val_loss: 0.1678 - val_categorical_accuracy: 0.9574 - 940ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1636 - val_categorical_accuracy: 0.9600 - 974ms/epoch - 7ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9824 - val_loss: 0.1659 - val_categorical_accuracy: 0.9586 - 936ms/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9823 - val_loss: 0.2157 - val_categorical_accuracy: 0.9471 - 920ms/epoch - 7ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9825 - val_loss: 0.1973 - val_categorical_accuracy: 0.9484 - 940ms/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9770 - val_loss: 0.1950 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1642 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9821 - val_loss: 0.1683 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9830 - val_loss: 0.1657 - val_categorical_accuracy: 0.9598 - 950ms/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9810 - val_loss: 0.1641 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1634 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.1678 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1741 - val_categorical_accuracy: 0.9571 - 925ms/epoch - 7ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9823 - val_loss: 0.1846 - val_categorical_accuracy: 0.9522 - 930ms/epoch - 7ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9749 - val_loss: 0.1724 - val_categorical_accuracy: 0.9572 - 950ms/epoch - 7ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1668 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9835 - val_loss: 0.1713 - val_categorical_accuracy: 0.9583 - 944ms/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9772 - val_loss: 0.1802 - val_categorical_accuracy: 0.9512 - 926ms/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.1625 - val_categorical_accuracy: 0.9596 - 950ms/epoch - 7ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9814 - val_loss: 0.1756 - val_categorical_accuracy: 0.9548 - 935ms/epoch - 7ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9832 - val_loss: 0.1999 - val_categorical_accuracy: 0.9572 - 930ms/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1691 - val_categorical_accuracy: 0.9597 - 950ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9816 - val_loss: 0.1723 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9831 - val_loss: 0.1739 - val_categorical_accuracy: 0.9559 - 920ms/epoch - 7ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9821 - val_loss: 0.1645 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.1696 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9745 - val_loss: 0.1747 - val_categorical_accuracy: 0.9517 - 950ms/epoch - 7ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9824 - val_loss: 0.1708 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9829 - val_loss: 0.1654 - val_categorical_accuracy: 0.9603 - 950ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9837 - val_loss: 0.1776 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9836 - val_loss: 0.1773 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.1232 - categorical_accuracy: 0.9654 - val_loss: 0.1672 - val_categorical_accuracy: 0.9522 - 934ms/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9829 - val_loss: 0.1643 - val_categorical_accuracy: 0.9582 - 926ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9840 - val_loss: 0.1748 - val_categorical_accuracy: 0.9571 - 940ms/epoch - 7ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9807 - val_loss: 0.1726 - val_categorical_accuracy: 0.9556 - 940ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9830 - val_loss: 0.1709 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9834 - val_loss: 0.1658 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.1639 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9831 - val_loss: 0.1711 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9838 - val_loss: 0.1788 - val_categorical_accuracy: 0.9573 - 940ms/epoch - 7ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9835 - val_loss: 0.1818 - val_categorical_accuracy: 0.9550 - 940ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9839 - val_loss: 0.1661 - val_categorical_accuracy: 0.9604 - 950ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9746 - val_loss: 0.1626 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1859 - val_categorical_accuracy: 0.9520 - 920ms/epoch - 7ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1663 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9823 - val_loss: 0.1620 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9832 - val_loss: 0.1722 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.1828 - val_categorical_accuracy: 0.9553 - 920ms/epoch - 7ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1814 - val_categorical_accuracy: 0.9589 - 940ms/epoch - 7ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1736 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9836 - val_loss: 0.1834 - val_categorical_accuracy: 0.9586 - 930ms/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1639 - val_categorical_accuracy: 0.9630 - 960ms/epoch - 7ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9831 - val_loss: 0.1767 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.1720 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9825 - val_loss: 0.1838 - val_categorical_accuracy: 0.9572 - 920ms/epoch - 7ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.1105 - categorical_accuracy: 0.9688 - val_loss: 0.1577 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1644 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1656 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1759 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.1742 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.1675 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9829 - val_loss: 1.0683 - val_categorical_accuracy: 0.8050 - 960ms/epoch - 7ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9754 - val_loss: 0.1664 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1843 - val_categorical_accuracy: 0.9526 - 930ms/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1803 - val_categorical_accuracy: 0.9586 - 920ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.1764 - val_categorical_accuracy: 0.9590 - 950ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9781 - val_loss: 0.1668 - val_categorical_accuracy: 0.9584 - 911ms/epoch - 6ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1806 - val_categorical_accuracy: 0.9560 - 920ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.1832 - val_categorical_accuracy: 0.9572 - 940ms/epoch - 7ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.1825 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1754 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9827 - val_loss: 0.1779 - val_categorical_accuracy: 0.9582 - 940ms/epoch - 7ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.1713 - val_categorical_accuracy: 0.9609 - 914ms/epoch - 6ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9842 - val_loss: 0.1806 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9838 - val_loss: 0.1746 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.1788 - val_categorical_accuracy: 0.9554 - 950ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9835 - val_loss: 0.1893 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.1802 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9746 - val_loss: 0.1662 - val_categorical_accuracy: 0.9576 - 940ms/epoch - 7ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1613 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1925 - val_categorical_accuracy: 0.9534 - 930ms/epoch - 7ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9848 - val_loss: 0.1666 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1858 - val_categorical_accuracy: 0.9557 - 940ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9826 - val_loss: 0.2146 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1753 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.1788 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9840 - val_loss: 0.1745 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.1763 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9755 - val_loss: 0.1603 - val_categorical_accuracy: 0.9609 - 960ms/epoch - 7ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1672 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9801 - val_loss: 0.1607 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1863 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1740 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1797 - val_categorical_accuracy: 0.9585 - 920ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1762 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.1756 - val_categorical_accuracy: 0.9610 - 940ms/epoch - 7ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.1761 - val_categorical_accuracy: 0.9605 - 920ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9738 - val_loss: 0.1656 - val_categorical_accuracy: 0.9609 - 910ms/epoch - 6ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1645 - val_categorical_accuracy: 0.9621 - 939ms/epoch - 7ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1743 - val_categorical_accuracy: 0.9595 - 915ms/epoch - 6ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1982 - val_categorical_accuracy: 0.9515 - 917ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9837 - val_loss: 0.1748 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9846 - val_loss: 0.2436 - val_categorical_accuracy: 0.9426 - 940ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.1772 - val_categorical_accuracy: 0.9601 - 940ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.1874 - val_categorical_accuracy: 0.9589 - 934ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9766 - val_loss: 0.1662 - val_categorical_accuracy: 0.9589 - 936ms/epoch - 7ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1725 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.1689 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1887 - val_categorical_accuracy: 0.9572 - 940ms/epoch - 7ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9836 - val_loss: 0.1722 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.1682 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1901 - val_categorical_accuracy: 0.9583 - 925ms/epoch - 7ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9836 - val_loss: 0.1885 - val_categorical_accuracy: 0.9577 - 950ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.1973 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1778 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1730 - val_categorical_accuracy: 0.9620 - 939ms/epoch - 7ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9837 - val_loss: 0.1717 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.1776 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1869 - val_categorical_accuracy: 0.9565 - 920ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1823 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1878 - val_categorical_accuracy: 0.9611 - 925ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1775 - val_categorical_accuracy: 0.9622 - 920ms/epoch - 7ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9833 - val_loss: 0.1962 - val_categorical_accuracy: 0.9550 - 950ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9847 - val_loss: 0.2038 - val_categorical_accuracy: 0.9514 - 930ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.1849 - val_categorical_accuracy: 0.9596 - 935ms/epoch - 7ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1781 - val_categorical_accuracy: 0.9612 - 940ms/epoch - 7ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1914 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9830 - val_loss: 0.1787 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.1877 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1987 - val_categorical_accuracy: 0.9556 - 960ms/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2007 - val_categorical_accuracy: 0.9570 - 951ms/epoch - 7ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.1048 - categorical_accuracy: 0.9704 - val_loss: 0.1650 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.2173 - val_categorical_accuracy: 0.9459 - 950ms/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9839 - val_loss: 0.1795 - val_categorical_accuracy: 0.9582 - 930ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1715 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9851 - val_loss: 0.1825 - val_categorical_accuracy: 0.9599 - 934ms/epoch - 7ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1913 - val_categorical_accuracy: 0.9578 - 920ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9847 - val_loss: 0.1981 - val_categorical_accuracy: 0.9570 - 920ms/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1825 - val_categorical_accuracy: 0.9600 - 920ms/epoch - 7ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.1848 - val_categorical_accuracy: 0.9577 - 940ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9851 - val_loss: 0.1897 - val_categorical_accuracy: 0.9591 - 920ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.1893 - val_categorical_accuracy: 0.9607 - 924ms/epoch - 7ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2126 - val_categorical_accuracy: 0.9525 - 950ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9855 - val_loss: 0.1821 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.1841 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0713 - categorical_accuracy: 0.9773 - val_loss: 0.1690 - val_categorical_accuracy: 0.9574 - 944ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2070 - val_categorical_accuracy: 0.9501 - 920ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.1980 - val_categorical_accuracy: 0.9565 - 918ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1755 - val_categorical_accuracy: 0.9626 - 926ms/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.1785 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2178 - val_categorical_accuracy: 0.9483 - 940ms/epoch - 7ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1807 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9844 - val_loss: 0.2155 - val_categorical_accuracy: 0.9542 - 944ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.1855 - val_categorical_accuracy: 0.9614 - 1s/epoch - 8ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9842 - val_loss: 0.1955 - val_categorical_accuracy: 0.9566 - 930ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9846 - val_loss: 0.1776 - val_categorical_accuracy: 0.9629 - 950ms/epoch - 7ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.1864 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1767 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.1754 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.1806 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.1889 - val_categorical_accuracy: 0.9617 - 950ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1811 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1872 - val_categorical_accuracy: 0.9600 - 950ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.2106 - val_categorical_accuracy: 0.9545 - 950ms/epoch - 7ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9841 - val_loss: 0.1875 - val_categorical_accuracy: 0.9609 - 944ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1816 - val_categorical_accuracy: 0.9621 - 960ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.1183 - categorical_accuracy: 0.9666 - val_loss: 0.1702 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9851 - val_loss: 0.1680 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1655 - val_categorical_accuracy: 0.9651 - 950ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1813 - val_categorical_accuracy: 0.9599 - 945ms/epoch - 7ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9858 - val_loss: 0.1753 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1803 - val_categorical_accuracy: 0.9597 - 924ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1782 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2062 - val_categorical_accuracy: 0.9554 - 940ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0751 - categorical_accuracy: 0.9772 - val_loss: 0.1705 - val_categorical_accuracy: 0.9598 - 930ms/epoch - 7ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1724 - val_categorical_accuracy: 0.9619 - 954ms/epoch - 7ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9824 - val_loss: 0.1744 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1738 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1690 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1815 - val_categorical_accuracy: 0.9604 - 949ms/epoch - 7ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2071 - val_categorical_accuracy: 0.9570 - 950ms/epoch - 7ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9854 - val_loss: 0.1868 - val_categorical_accuracy: 0.9610 - 940ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9775 - val_loss: 0.1756 - val_categorical_accuracy: 0.9604 - 960ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9864 - val_loss: 0.1721 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.1786 - val_categorical_accuracy: 0.9622 - 934ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1773 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1810 - val_categorical_accuracy: 0.9629 - 924ms/epoch - 7ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.1911 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.1938 - val_categorical_accuracy: 0.9586 - 940ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.1864 - val_categorical_accuracy: 0.9596 - 960ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.1855 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1887 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.1842 - val_categorical_accuracy: 0.9633 - 954ms/epoch - 7ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9857 - val_loss: 0.2218 - val_categorical_accuracy: 0.9495 - 940ms/epoch - 7ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9780 - val_loss: 0.1669 - val_categorical_accuracy: 0.9622 - 924ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1716 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.1700 - val_categorical_accuracy: 0.9646 - 914ms/epoch - 6ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1860 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2002 - val_categorical_accuracy: 0.9607 - 934ms/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1898 - val_categorical_accuracy: 0.9589 - 926ms/epoch - 7ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9842 - val_loss: 0.1812 - val_categorical_accuracy: 0.9608 - 920ms/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2027 - val_categorical_accuracy: 0.9558 - 914ms/epoch - 6ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1838 - val_categorical_accuracy: 0.9631 - 950ms/epoch - 7ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1843 - val_categorical_accuracy: 0.9614 - 914ms/epoch - 6ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9857 - val_loss: 0.1896 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.1849 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.1837 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9832 - val_loss: 0.1856 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2878 - val_categorical_accuracy: 0.9390 - 910ms/epoch - 6ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.1314 - categorical_accuracy: 0.9658 - val_loss: 0.1748 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1670 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1716 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1752 - val_categorical_accuracy: 0.9617 - 940ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1915 - val_categorical_accuracy: 0.9610 - 920ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1793 - val_categorical_accuracy: 0.9614 - 924ms/epoch - 7ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1913 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1926 - val_categorical_accuracy: 0.9615 - 940ms/epoch - 7ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2164 - val_categorical_accuracy: 0.9579 - 930ms/epoch - 7ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.1127 - categorical_accuracy: 0.9691 - val_loss: 0.1688 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.1676 - val_categorical_accuracy: 0.9631 - 950ms/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.1885 - val_categorical_accuracy: 0.9598 - 930ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1899 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1833 - val_categorical_accuracy: 0.9623 - 944ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1812 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1891 - val_categorical_accuracy: 0.9596 - 935ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1984 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1987 - val_categorical_accuracy: 0.9604 - 950ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.1851 - val_categorical_accuracy: 0.9628 - 936ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.1801 - val_categorical_accuracy: 0.9636 - 937ms/epoch - 7ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.1839 - val_categorical_accuracy: 0.9621 - 955ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9853 - val_loss: 0.1802 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.1850 - val_categorical_accuracy: 0.9619 - 924ms/epoch - 7ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1877 - val_categorical_accuracy: 0.9609 - 950ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9756 - val_loss: 0.1757 - val_categorical_accuracy: 0.9585 - 935ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.1759 - val_categorical_accuracy: 0.9628 - 926ms/epoch - 7ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.1740 - val_categorical_accuracy: 0.9632 - 925ms/epoch - 7ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1997 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9865 - val_loss: 0.1831 - val_categorical_accuracy: 0.9638 - 914ms/epoch - 6ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1878 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.1768 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1894 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1901 - val_categorical_accuracy: 0.9597 - 914ms/epoch - 6ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2033 - val_categorical_accuracy: 0.9571 - 936ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1915 - val_categorical_accuracy: 0.9598 - 920ms/epoch - 7ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.1840 - val_categorical_accuracy: 0.9614 - 929ms/epoch - 7ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9868 - val_loss: 0.1863 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1967 - val_categorical_accuracy: 0.9592 - 940ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1861 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9802 - val_loss: 0.1797 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.1766 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2161 - val_categorical_accuracy: 0.9507 - 924ms/epoch - 7ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.1984 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1919 - val_categorical_accuracy: 0.9589 - 930ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1777 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1776 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1863 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1883 - val_categorical_accuracy: 0.9624 - 960ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1839 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.1912 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9869 - val_loss: 0.1840 - val_categorical_accuracy: 0.9634 - 961ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1929 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9864 - val_loss: 0.1846 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2372 - val_categorical_accuracy: 0.9540 - 940ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1886 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2318 - val_categorical_accuracy: 0.9529 - 930ms/epoch - 7ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.1430 - categorical_accuracy: 0.9630 - val_loss: 0.1810 - val_categorical_accuracy: 0.9507 - 930ms/epoch - 7ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1732 - val_categorical_accuracy: 0.9610 - 960ms/epoch - 7ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.1770 - val_categorical_accuracy: 0.9618 - 950ms/epoch - 7ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1740 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1771 - val_categorical_accuracy: 0.9641 - 945ms/epoch - 7ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1938 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1941 - val_categorical_accuracy: 0.9614 - 924ms/epoch - 7ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2253 - val_categorical_accuracy: 0.9539 - 926ms/epoch - 7ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1958 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9871 - val_loss: 0.1894 - val_categorical_accuracy: 0.9615 - 934ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.1905 - val_categorical_accuracy: 0.9579 - 930ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1819 - val_categorical_accuracy: 0.9623 - 955ms/epoch - 7ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1989 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.1836 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.1920 - val_categorical_accuracy: 0.9596 - 950ms/epoch - 7ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9863 - val_loss: 0.1861 - val_categorical_accuracy: 0.9636 - 950ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.1981 - val_categorical_accuracy: 0.9594 - 940ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2031 - val_categorical_accuracy: 0.9584 - 940ms/epoch - 7ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9865 - val_loss: 0.1951 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2017 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1931 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2004 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1912 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9806 - val_loss: 0.1845 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.1835 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.1829 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.1950 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9826 - val_loss: 0.1956 - val_categorical_accuracy: 0.9539 - 920ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.1861 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9870 - val_loss: 0.1832 - val_categorical_accuracy: 0.9625 - 924ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.1934 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9863 - val_loss: 0.2121 - val_categorical_accuracy: 0.9554 - 960ms/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9839 - val_loss: 0.1847 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2007 - val_categorical_accuracy: 0.9583 - 916ms/epoch - 6ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1856 - val_categorical_accuracy: 0.9639 - 944ms/epoch - 7ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1955 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1922 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9867 - val_loss: 0.2002 - val_categorical_accuracy: 0.9596 - 910ms/epoch - 6ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1981 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1884 - val_categorical_accuracy: 0.9622 - 934ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2415 - val_categorical_accuracy: 0.9474 - 920ms/epoch - 7ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.2070 - val_categorical_accuracy: 0.9601 - 944ms/epoch - 7ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1920 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.1976 - val_categorical_accuracy: 0.9621 - 918ms/epoch - 7ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2050 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.1969 - val_categorical_accuracy: 0.9633 - 924ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9782 - val_loss: 0.1813 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1835 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1910 - val_categorical_accuracy: 0.9612 - 950ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1920 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.1863 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9867 - val_loss: 0.1900 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1929 - val_categorical_accuracy: 0.9609 - 928ms/epoch - 7ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9873 - val_loss: 0.2118 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2028 - val_categorical_accuracy: 0.9602 - 940ms/epoch - 7ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9868 - val_loss: 0.1965 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.1889 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.3261 - val_categorical_accuracy: 0.9335 - 950ms/epoch - 7ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9820 - val_loss: 0.1870 - val_categorical_accuracy: 0.9612 - 960ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2067 - val_categorical_accuracy: 0.9575 - 940ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2105 - val_categorical_accuracy: 0.9554 - 924ms/epoch - 7ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1913 - val_categorical_accuracy: 0.9628 - 950ms/epoch - 7ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1933 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.1952 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2033 - val_categorical_accuracy: 0.9582 - 924ms/epoch - 7ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9754 - val_loss: 0.1739 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1874 - val_categorical_accuracy: 0.9612 - 910ms/epoch - 6ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9873 - val_loss: 0.1915 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.1841 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1979 - val_categorical_accuracy: 0.9601 - 925ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2211 - val_categorical_accuracy: 0.9562 - 930ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9820 - val_loss: 0.1864 - val_categorical_accuracy: 0.9621 - 944ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1881 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.1996 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1961 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1936 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9874 - val_loss: 0.1870 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2000 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2003 - val_categorical_accuracy: 0.9605 - 940ms/epoch - 7ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2063 - val_categorical_accuracy: 0.9603 - 920ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2007 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.1892 - val_categorical_accuracy: 0.9624 - 950ms/epoch - 7ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.1989 - val_categorical_accuracy: 0.9622 - 924ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1913 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1994 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.1915 - val_categorical_accuracy: 0.9624 - 960ms/epoch - 7ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2003 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.1996 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9876 - val_loss: 0.1978 - val_categorical_accuracy: 0.9622 - 950ms/epoch - 7ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9870 - val_loss: 0.1981 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2154 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2078 - val_categorical_accuracy: 0.9606 - 945ms/epoch - 7ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2020 - val_categorical_accuracy: 0.9624 - 924ms/epoch - 7ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2239 - val_categorical_accuracy: 0.9547 - 925ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9799 - val_loss: 0.1857 - val_categorical_accuracy: 0.9615 - 924ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1903 - val_categorical_accuracy: 0.9597 - 946ms/epoch - 7ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0871 - categorical_accuracy: 0.9751 - val_loss: 0.1836 - val_categorical_accuracy: 0.9508 - 920ms/epoch - 7ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1707 - val_categorical_accuracy: 0.9649 - 931ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1788 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1848 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.1837 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2323 - val_categorical_accuracy: 0.9533 - 924ms/epoch - 7ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1900 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2020 - val_categorical_accuracy: 0.9591 - 925ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1857 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1989 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.3517 - val_categorical_accuracy: 0.9288 - 930ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1916 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9874 - val_loss: 0.1993 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.1948 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.1954 - val_categorical_accuracy: 0.9616 - 938ms/epoch - 7ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.1947 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2085 - val_categorical_accuracy: 0.9605 - 940ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.1963 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2052 - val_categorical_accuracy: 0.9606 - 930ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.1972 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.2021 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.1941 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2008 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2680 - val_categorical_accuracy: 0.9496 - 930ms/epoch - 7ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.2058 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9875 - val_loss: 0.2033 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2068 - val_categorical_accuracy: 0.9614 - 960ms/epoch - 7ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2047 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2095 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9838 - val_loss: 0.1814 - val_categorical_accuracy: 0.9631 - 960ms/epoch - 7ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2155 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2229 - val_categorical_accuracy: 0.9550 - 920ms/epoch - 7ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.2182 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.2042 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9874 - val_loss: 0.1937 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1975 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9878 - val_loss: 0.2045 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1984 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.1972 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2033 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9876 - val_loss: 0.1996 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9873 - val_loss: 0.1932 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1986 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9760 - val_loss: 0.1948 - val_categorical_accuracy: 0.9509 - 944ms/epoch - 7ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.1785 - val_categorical_accuracy: 0.9628 - 936ms/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.1844 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1917 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1917 - val_categorical_accuracy: 0.9611 - 940ms/epoch - 7ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1957 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1972 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1994 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2077 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1976 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1992 - val_categorical_accuracy: 0.9613 - 920ms/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.2235 - val_categorical_accuracy: 0.9568 - 920ms/epoch - 7ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.1978 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2165 - val_categorical_accuracy: 0.9585 - 940ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.1975 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2014 - val_categorical_accuracy: 0.9620 - 920ms/epoch - 7ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2056 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2013 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2365 - val_categorical_accuracy: 0.9564 - 930ms/epoch - 7ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9811 - val_loss: 0.1926 - val_categorical_accuracy: 0.9613 - 944ms/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2271 - val_categorical_accuracy: 0.9518 - 944ms/epoch - 7ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1918 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.1948 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2097 - val_categorical_accuracy: 0.9626 - 950ms/epoch - 7ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.1977 - val_categorical_accuracy: 0.9636 - 934ms/epoch - 7ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2056 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9878 - val_loss: 0.1999 - val_categorical_accuracy: 0.9632 - 944ms/epoch - 7ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2029 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2021 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9778 - val_loss: 0.1831 - val_categorical_accuracy: 0.9553 - 920ms/epoch - 7ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1818 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2058 - val_categorical_accuracy: 0.9587 - 918ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2121 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9880 - val_loss: 0.1923 - val_categorical_accuracy: 0.9637 - 960ms/epoch - 7ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1998 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2116 - val_categorical_accuracy: 0.9611 - 945ms/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9815 - val_loss: 0.1833 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.1946 - val_categorical_accuracy: 0.9616 - 924ms/epoch - 7ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1872 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.1910 - val_categorical_accuracy: 0.9643 - 924ms/epoch - 7ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2019 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2149 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1948 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.1973 - val_categorical_accuracy: 0.9626 - 944ms/epoch - 7ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.1953 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2063 - val_categorical_accuracy: 0.9622 - 954ms/epoch - 7ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9878 - val_loss: 0.2012 - val_categorical_accuracy: 0.9631 - 936ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2018 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9880 - val_loss: 0.1977 - val_categorical_accuracy: 0.9640 - 939ms/epoch - 7ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2032 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2113 - val_categorical_accuracy: 0.9604 - 950ms/epoch - 7ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2078 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2230 - val_categorical_accuracy: 0.9563 - 930ms/epoch - 7ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9815 - val_loss: 0.1961 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1948 - val_categorical_accuracy: 0.9636 - 944ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2050 - val_categorical_accuracy: 0.9610 - 950ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2037 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9884 - val_loss: 0.1928 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2113 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2127 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2067 - val_categorical_accuracy: 0.9625 - 934ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2137 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9878 - val_loss: 0.2037 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9797 - val_loss: 0.2087 - val_categorical_accuracy: 0.9557 - 950ms/epoch - 7ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2077 - val_categorical_accuracy: 0.9596 - 920ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1977 - val_categorical_accuracy: 0.9622 - 924ms/epoch - 7ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2019 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.1963 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1980 - val_categorical_accuracy: 0.9632 - 1s/epoch - 8ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2270 - val_categorical_accuracy: 0.9572 - 925ms/epoch - 7ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.1981 - val_categorical_accuracy: 0.9635 - 950ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.1976 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2023 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9877 - val_loss: 0.2049 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2111 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9851 - val_loss: 0.2030 - val_categorical_accuracy: 0.9628 - 934ms/epoch - 7ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2104 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2180 - val_categorical_accuracy: 0.9614 - 950ms/epoch - 7ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9873 - val_loss: 0.1979 - val_categorical_accuracy: 0.9654 - 960ms/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2105 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9800 - val_loss: 0.1882 - val_categorical_accuracy: 0.9517 - 967ms/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9863 - val_loss: 0.2011 - val_categorical_accuracy: 0.9612 - 948ms/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2010 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2034 - val_categorical_accuracy: 0.9635 - 950ms/epoch - 7ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1968 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9884 - val_loss: 0.1980 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.1978 - val_categorical_accuracy: 0.9634 - 951ms/epoch - 7ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2065 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9887 - val_loss: 0.1986 - val_categorical_accuracy: 0.9641 - 950ms/epoch - 7ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2049 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9871 - val_loss: 0.1959 - val_categorical_accuracy: 0.9638 - 955ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2025 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2013 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2001 - val_categorical_accuracy: 0.9651 - 960ms/epoch - 7ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9883 - val_loss: 0.2028 - val_categorical_accuracy: 0.9636 - 934ms/epoch - 7ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2045 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2107 - val_categorical_accuracy: 0.9617 - 959ms/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2057 - val_categorical_accuracy: 0.9620 - 950ms/epoch - 7ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2310 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2056 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2090 - val_categorical_accuracy: 0.9634 - 960ms/epoch - 7ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9884 - val_loss: 0.2007 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9819 - val_loss: 0.3007 - val_categorical_accuracy: 0.9122 - 940ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.1886 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.1983 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2119 - val_categorical_accuracy: 0.9624 - 930ms/epoch - 7ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1998 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2019 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2060 - val_categorical_accuracy: 0.9604 - 930ms/epoch - 7ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.1483 - categorical_accuracy: 0.9596 - val_loss: 0.2052 - val_categorical_accuracy: 0.9553 - 934ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.1805 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1870 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1942 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2077 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.1920 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9879 - val_loss: 0.2336 - val_categorical_accuracy: 0.9537 - 940ms/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1937 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.1906 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2027 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.1961 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2018 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2680 - val_categorical_accuracy: 0.9479 - 940ms/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1974 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2171 - val_categorical_accuracy: 0.9600 - 940ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9879 - val_loss: 0.2010 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1997 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2097 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2132 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2052 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.1998 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2106 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2102 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9781 - val_loss: 0.1992 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1955 - val_categorical_accuracy: 0.9625 - 950ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2022 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.1937 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2018 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2074 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2102 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1972 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2215 - val_categorical_accuracy: 0.9583 - 950ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2119 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2354 - val_categorical_accuracy: 0.9563 - 920ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2047 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2039 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2065 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2072 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2073 - val_categorical_accuracy: 0.9643 - 934ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2096 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2120 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2067 - val_categorical_accuracy: 0.9633 - 986ms/epoch - 7ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2070 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9858 - val_loss: 0.1991 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2241 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.2103 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.2079 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2070 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.2254 - val_categorical_accuracy: 0.9574 - 950ms/epoch - 7ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2141 - val_categorical_accuracy: 0.9592 - 930ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2089 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2051 - val_categorical_accuracy: 0.9629 - 964ms/epoch - 7ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2148 - val_categorical_accuracy: 0.9618 - 946ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9880 - val_loss: 0.2216 - val_categorical_accuracy: 0.9589 - 950ms/epoch - 7ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2082 - val_categorical_accuracy: 0.9642 - 970ms/epoch - 7ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2063 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2088 - val_categorical_accuracy: 0.9631 - 940ms/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9796 - val_loss: 0.1854 - val_categorical_accuracy: 0.9552 - 930ms/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.1931 - val_categorical_accuracy: 0.9620 - 934ms/epoch - 7ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2001 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9889 - val_loss: 0.2044 - val_categorical_accuracy: 0.9644 - 914ms/epoch - 6ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.1996 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2004 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2082 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2202 - val_categorical_accuracy: 0.9591 - 950ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2109 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2063 - val_categorical_accuracy: 0.9628 - 920ms/epoch - 7ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2132 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9887 - val_loss: 0.2085 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2141 - val_categorical_accuracy: 0.9610 - 930ms/epoch - 7ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9887 - val_loss: 0.2084 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9890 - val_loss: 0.2081 - val_categorical_accuracy: 0.9625 - 945ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2057 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2182 - val_categorical_accuracy: 0.9608 - 944ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2288 - val_categorical_accuracy: 0.9608 - 950ms/epoch - 7ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.1116 - categorical_accuracy: 0.9702 - val_loss: 0.1852 - val_categorical_accuracy: 0.9616 - 924ms/epoch - 7ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.1897 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1919 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.1943 - val_categorical_accuracy: 0.9660 - 950ms/epoch - 7ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2056 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2238 - val_categorical_accuracy: 0.9573 - 940ms/epoch - 7ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2031 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9885 - val_loss: 0.2182 - val_categorical_accuracy: 0.9583 - 930ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.1989 - val_categorical_accuracy: 0.9653 - 934ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2074 - val_categorical_accuracy: 0.9638 - 944ms/epoch - 7ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2418 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2061 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2041 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9886 - val_loss: 0.2050 - val_categorical_accuracy: 0.9637 - 944ms/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2039 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2079 - val_categorical_accuracy: 0.9642 - 924ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2226 - val_categorical_accuracy: 0.9600 - 950ms/epoch - 7ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2189 - val_categorical_accuracy: 0.9622 - 924ms/epoch - 7ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2139 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2146 - val_categorical_accuracy: 0.9604 - 945ms/epoch - 7ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.3158 - val_categorical_accuracy: 0.9385 - 930ms/epoch - 7ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2147 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2085 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2096 - val_categorical_accuracy: 0.9616 - 954ms/epoch - 7ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2232 - val_categorical_accuracy: 0.9564 - 931ms/epoch - 7ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2096 - val_categorical_accuracy: 0.9608 - 927ms/epoch - 7ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.2499 - val_categorical_accuracy: 0.9533 - 950ms/epoch - 7ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2044 - val_categorical_accuracy: 0.9638 - 934ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9889 - val_loss: 0.2077 - val_categorical_accuracy: 0.9643 - 924ms/epoch - 7ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9797 - val_loss: 0.1896 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.1994 - val_categorical_accuracy: 0.9630 - 934ms/epoch - 7ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2086 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2016 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2074 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2093 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9825 - val_loss: 0.1884 - val_categorical_accuracy: 0.9643 - 910ms/epoch - 6ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1972 - val_categorical_accuracy: 0.9631 - 945ms/epoch - 7ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2045 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.1946 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9891 - val_loss: 0.2044 - val_categorical_accuracy: 0.9642 - 928ms/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2060 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2155 - val_categorical_accuracy: 0.9622 - 919ms/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.1971 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2069 - val_categorical_accuracy: 0.9620 - 950ms/epoch - 7ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2197 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2103 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2072 - val_categorical_accuracy: 0.9623 - 950ms/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2045 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2221 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9885 - val_loss: 0.2064 - val_categorical_accuracy: 0.9644 - 934ms/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2094 - val_categorical_accuracy: 0.9622 - 940ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2114 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2181 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2114 - val_categorical_accuracy: 0.9630 - 980ms/epoch - 7ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2107 - val_categorical_accuracy: 0.9644 - 960ms/epoch - 7ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2198 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2093 - val_categorical_accuracy: 0.9643 - 951ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2151 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2295 - val_categorical_accuracy: 0.9623 - 934ms/epoch - 7ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2262 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2176 - val_categorical_accuracy: 0.9635 - 935ms/epoch - 7ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2205 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2344 - val_categorical_accuracy: 0.9583 - 915ms/epoch - 6ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9865 - val_loss: 0.2389 - val_categorical_accuracy: 0.9594 - 950ms/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2170 - val_categorical_accuracy: 0.9637 - 915ms/epoch - 6ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2110 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2255 - val_categorical_accuracy: 0.9620 - 950ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2133 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2206 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2162 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2172 - val_categorical_accuracy: 0.9624 - 940ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2234 - val_categorical_accuracy: 0.9631 - 925ms/epoch - 7ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9889 - val_loss: 0.2153 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2248 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2256 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2085 - val_categorical_accuracy: 0.9638 - 934ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2166 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2139 - val_categorical_accuracy: 0.9643 - 914ms/epoch - 6ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2324 - val_categorical_accuracy: 0.9595 - 920ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2295 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9894 - val_loss: 0.2125 - val_categorical_accuracy: 0.9641 - 960ms/epoch - 7ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.2314 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.2409 - val_categorical_accuracy: 0.9586 - 940ms/epoch - 7ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.2340 - val_categorical_accuracy: 0.9584 - 960ms/epoch - 7ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2154 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2260 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2266 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9824 - val_loss: 0.2123 - val_categorical_accuracy: 0.9558 - 930ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2126 - val_categorical_accuracy: 0.9603 - 935ms/epoch - 7ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2105 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2093 - val_categorical_accuracy: 0.9618 - 955ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2109 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2305 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2153 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2097 - val_categorical_accuracy: 0.9619 - 924ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2218 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2978 - val_categorical_accuracy: 0.9527 - 934ms/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2355 - val_categorical_accuracy: 0.9593 - 920ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2207 - val_categorical_accuracy: 0.9613 - 924ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2164 - val_categorical_accuracy: 0.9629 - 916ms/epoch - 6ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2238 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2160 - val_categorical_accuracy: 0.9617 - 930ms/epoch - 7ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2183 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2179 - val_categorical_accuracy: 0.9628 - 935ms/epoch - 7ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2205 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2214 - val_categorical_accuracy: 0.9615 - 929ms/epoch - 7ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9890 - val_loss: 0.2210 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9888 - val_loss: 0.3045 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9782 - val_loss: 0.1897 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1992 - val_categorical_accuracy: 0.9632 - 924ms/epoch - 7ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2641 - val_categorical_accuracy: 0.9492 - 950ms/epoch - 7ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2137 - val_categorical_accuracy: 0.9635 - 924ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2105 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9893 - val_loss: 0.2307 - val_categorical_accuracy: 0.9591 - 940ms/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2321 - val_categorical_accuracy: 0.9585 - 918ms/epoch - 7ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2099 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.1161 - categorical_accuracy: 0.9687 - val_loss: 0.1843 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2069 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.1900 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1988 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2084 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2053 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2059 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.2127 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9891 - val_loss: 0.2185 - val_categorical_accuracy: 0.9638 - 934ms/epoch - 7ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2171 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2067 - val_categorical_accuracy: 0.9645 - 920ms/epoch - 7ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2138 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2620 - val_categorical_accuracy: 0.9489 - 920ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2210 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2351 - val_categorical_accuracy: 0.9573 - 940ms/epoch - 7ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2065 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2180 - val_categorical_accuracy: 0.9608 - 940ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9890 - val_loss: 0.2171 - val_categorical_accuracy: 0.9630 - 934ms/epoch - 7ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2224 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2379 - val_categorical_accuracy: 0.9557 - 934ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.2106 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2228 - val_categorical_accuracy: 0.9613 - 945ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2139 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9892 - val_loss: 0.2472 - val_categorical_accuracy: 0.9575 - 920ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9889 - val_loss: 0.2084 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2110 - val_categorical_accuracy: 0.9639 - 914ms/epoch - 6ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.2156 - val_categorical_accuracy: 0.9650 - 926ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2188 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9890 - val_loss: 0.2204 - val_categorical_accuracy: 0.9626 - 935ms/epoch - 7ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2217 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2332 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.2300 - val_categorical_accuracy: 0.9605 - 950ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2193 - val_categorical_accuracy: 0.9639 - 924ms/epoch - 7ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2198 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2136 - val_categorical_accuracy: 0.9642 - 940ms/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2279 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9893 - val_loss: 0.2186 - val_categorical_accuracy: 0.9648 - 926ms/epoch - 7ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2324 - val_categorical_accuracy: 0.9620 - 944ms/epoch - 7ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2205 - val_categorical_accuracy: 0.9650 - 941ms/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2188 - val_categorical_accuracy: 0.9641 - 945ms/epoch - 7ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2217 - val_categorical_accuracy: 0.9629 - 927ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2251 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2230 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2412 - val_categorical_accuracy: 0.9605 - 934ms/epoch - 7ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.1126 - categorical_accuracy: 0.9710 - val_loss: 0.1899 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2029 - val_categorical_accuracy: 0.9631 - 915ms/epoch - 6ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2076 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.2115 - val_categorical_accuracy: 0.9638 - 924ms/epoch - 7ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2143 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2186 - val_categorical_accuracy: 0.9601 - 924ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2144 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2171 - val_categorical_accuracy: 0.9640 - 954ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2229 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2324 - val_categorical_accuracy: 0.9594 - 929ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2222 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2267 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2165 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2208 - val_categorical_accuracy: 0.9634 - 920ms/epoch - 7ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2269 - val_categorical_accuracy: 0.9610 - 954ms/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2342 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2258 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2157 - val_categorical_accuracy: 0.9638 - 950ms/epoch - 7ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2192 - val_categorical_accuracy: 0.9640 - 935ms/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2251 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2356 - val_categorical_accuracy: 0.9595 - 950ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2184 - val_categorical_accuracy: 0.9649 - 950ms/epoch - 7ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2231 - val_categorical_accuracy: 0.9628 - 954ms/epoch - 7ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2240 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2291 - val_categorical_accuracy: 0.9620 - 959ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2319 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2350 - val_categorical_accuracy: 0.9608 - 930ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2303 - val_categorical_accuracy: 0.9637 - 950ms/epoch - 7ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9894 - val_loss: 0.2208 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9896 - val_loss: 0.2332 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2230 - val_categorical_accuracy: 0.9609 - 940ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.2297 - val_categorical_accuracy: 0.9622 - 934ms/epoch - 7ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9901 - val_loss: 0.2293 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2769 - val_categorical_accuracy: 0.9487 - 930ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9789 - val_loss: 0.1969 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2079 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2140 - val_categorical_accuracy: 0.9612 - 920ms/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9896 - val_loss: 0.2111 - val_categorical_accuracy: 0.9631 - 954ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.2145 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9897 - val_loss: 0.2206 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2184 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.2158 - val_categorical_accuracy: 0.9654 - 925ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2436 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2145 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2231 - val_categorical_accuracy: 0.9639 - 970ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2194 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2241 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2149 - val_categorical_accuracy: 0.9648 - 950ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2235 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2252 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2269 - val_categorical_accuracy: 0.9624 - 924ms/epoch - 7ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.2697 - val_categorical_accuracy: 0.9548 - 920ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2505 - val_categorical_accuracy: 0.9610 - 934ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2365 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2699 - val_categorical_accuracy: 0.9533 - 960ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2249 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2286 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2261 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2300 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2189 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2412 - val_categorical_accuracy: 0.9580 - 920ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2234 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2520 - val_categorical_accuracy: 0.9570 - 940ms/epoch - 7ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2236 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2403 - val_categorical_accuracy: 0.9618 - 950ms/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2286 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2816 - val_categorical_accuracy: 0.9499 - 1s/epoch - 8ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2253 - val_categorical_accuracy: 0.9640 - 974ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9855 - val_loss: 0.2121 - val_categorical_accuracy: 0.9591 - 950ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2156 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2229 - val_categorical_accuracy: 0.9630 - 960ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2213 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2224 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2255 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2273 - val_categorical_accuracy: 0.9618 - 950ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2223 - val_categorical_accuracy: 0.9643 - 934ms/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2311 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2240 - val_categorical_accuracy: 0.9628 - 950ms/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.2272 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2260 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2371 - val_categorical_accuracy: 0.9610 - 950ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2253 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2560 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.2598 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2314 - val_categorical_accuracy: 0.9633 - 964ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9895 - val_loss: 0.2326 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2234 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2355 - val_categorical_accuracy: 0.9624 - 950ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9846 - val_loss: 0.5370 - val_categorical_accuracy: 0.8539 - 940ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9822 - val_loss: 0.2003 - val_categorical_accuracy: 0.9622 - 960ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9902 - val_loss: 0.2050 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2137 - val_categorical_accuracy: 0.9635 - 950ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2130 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2105 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.3003 - val_categorical_accuracy: 0.9464 - 950ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2208 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2411 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2384 - val_categorical_accuracy: 0.9577 - 950ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.2195 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2200 - val_categorical_accuracy: 0.9650 - 925ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.2281 - val_categorical_accuracy: 0.9602 - 950ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2327 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9902 - val_loss: 0.2193 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2260 - val_categorical_accuracy: 0.9629 - 940ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2237 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2182 - val_categorical_accuracy: 0.9637 - 940ms/epoch - 7ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2332 - val_categorical_accuracy: 0.9620 - 930ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2391 - val_categorical_accuracy: 0.9607 - 940ms/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9741 - val_loss: 0.1985 - val_categorical_accuracy: 0.9616 - 920ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2003 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.2093 - val_categorical_accuracy: 0.9635 - 940ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2156 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2104 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2212 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2445 - val_categorical_accuracy: 0.9569 - 940ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2368 - val_categorical_accuracy: 0.9602 - 920ms/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2287 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2398 - val_categorical_accuracy: 0.9602 - 950ms/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2184 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2272 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2242 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2238 - val_categorical_accuracy: 0.9646 - 930ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9880 - val_loss: 0.2250 - val_categorical_accuracy: 0.9646 - 937ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2413 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0723 - categorical_accuracy: 0.9803 - val_loss: 0.1925 - val_categorical_accuracy: 0.9644 - 964ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.2114 - val_categorical_accuracy: 0.9625 - 960ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2069 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2108 - val_categorical_accuracy: 0.9638 - 950ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2076 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2297 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2237 - val_categorical_accuracy: 0.9630 - 940ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2128 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2193 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2265 - val_categorical_accuracy: 0.9606 - 910ms/epoch - 6ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2292 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2328 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.2262 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2225 - val_categorical_accuracy: 0.9642 - 939ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2243 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2269 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9900 - val_loss: 0.2661 - val_categorical_accuracy: 0.9529 - 930ms/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9861 - val_loss: 0.4608 - val_categorical_accuracy: 0.9266 - 930ms/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9833 - val_loss: 0.1971 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.2144 - val_categorical_accuracy: 0.9618 - 920ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2076 - val_categorical_accuracy: 0.9636 - 944ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9906 - val_loss: 0.2123 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2091 - val_categorical_accuracy: 0.9651 - 944ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2160 - val_categorical_accuracy: 0.9635 - 960ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2117 - val_categorical_accuracy: 0.9642 - 930ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2158 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2165 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2226 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9900 - val_loss: 0.2238 - val_categorical_accuracy: 0.9639 - 940ms/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9900 - val_loss: 0.2280 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2271 - val_categorical_accuracy: 0.9637 - 955ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9905 - val_loss: 0.2224 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2320 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2276 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2400 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9834 - val_loss: 0.2155 - val_categorical_accuracy: 0.9606 - 928ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2297 - val_categorical_accuracy: 0.9595 - 930ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2150 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2286 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2225 - val_categorical_accuracy: 0.9635 - 934ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2343 - val_categorical_accuracy: 0.9599 - 940ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2281 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2258 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2405 - val_categorical_accuracy: 0.9602 - 930ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2306 - val_categorical_accuracy: 0.9640 - 910ms/epoch - 6ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2262 - val_categorical_accuracy: 0.9628 - 910ms/epoch - 6ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2224 - val_categorical_accuracy: 0.9644 - 920ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2319 - val_categorical_accuracy: 0.9617 - 990ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2295 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2360 - val_categorical_accuracy: 0.9588 - 930ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2237 - val_categorical_accuracy: 0.9626 - 944ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9901 - val_loss: 0.2482 - val_categorical_accuracy: 0.9587 - 930ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2292 - val_categorical_accuracy: 0.9625 - 934ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2232 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2278 - val_categorical_accuracy: 0.9625 - 924ms/epoch - 7ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9899 - val_loss: 0.2462 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2389 - val_categorical_accuracy: 0.9624 - 934ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2326 - val_categorical_accuracy: 0.9628 - 950ms/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.2277 - val_categorical_accuracy: 0.9604 - 924ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2573 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2394 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2271 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.2276 - val_categorical_accuracy: 0.9626 - 920ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2249 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2361 - val_categorical_accuracy: 0.9635 - 914ms/epoch - 6ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2322 - val_categorical_accuracy: 0.9621 - 914ms/epoch - 6ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2476 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9900 - val_loss: 0.2386 - val_categorical_accuracy: 0.9610 - 940ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2330 - val_categorical_accuracy: 0.9637 - 930ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2299 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.2435 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.2533 - val_categorical_accuracy: 0.9573 - 920ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2361 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2376 - val_categorical_accuracy: 0.9623 - 930ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2309 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2275 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2364 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2375 - val_categorical_accuracy: 0.9628 - 934ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.1150 - categorical_accuracy: 0.9677 - val_loss: 0.1907 - val_categorical_accuracy: 0.9590 - 912ms/epoch - 6ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2018 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2131 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.2177 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9907 - val_loss: 0.2142 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2199 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2177 - val_categorical_accuracy: 0.9648 - 944ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2397 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2233 - val_categorical_accuracy: 0.9634 - 924ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2376 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2221 - val_categorical_accuracy: 0.9645 - 924ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9905 - val_loss: 0.2330 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2236 - val_categorical_accuracy: 0.9651 - 954ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2273 - val_categorical_accuracy: 0.9634 - 936ms/epoch - 7ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9900 - val_loss: 0.2315 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2260 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2476 - val_categorical_accuracy: 0.9599 - 950ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.2238 - val_categorical_accuracy: 0.9625 - 924ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2512 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2457 - val_categorical_accuracy: 0.9602 - 950ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2549 - val_categorical_accuracy: 0.9557 - 930ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2612 - val_categorical_accuracy: 0.9598 - 944ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2718 - val_categorical_accuracy: 0.9546 - 940ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2278 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2302 - val_categorical_accuracy: 0.9621 - 940ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.2300 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2464 - val_categorical_accuracy: 0.9612 - 950ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9897 - val_loss: 0.2602 - val_categorical_accuracy: 0.9575 - 930ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2410 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2419 - val_categorical_accuracy: 0.9606 - 940ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2516 - val_categorical_accuracy: 0.9586 - 924ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.2261 - val_categorical_accuracy: 0.9646 - 920ms/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2508 - val_categorical_accuracy: 0.9590 - 920ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9898 - val_loss: 0.2285 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2341 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2290 - val_categorical_accuracy: 0.9648 - 920ms/epoch - 7ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2375 - val_categorical_accuracy: 0.9644 - 960ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9907 - val_loss: 0.2486 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2285 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2483 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2510 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9905 - val_loss: 0.2370 - val_categorical_accuracy: 0.9650 - 920ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.2363 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2310 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9810 - val_loss: 0.2181 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.2159 - val_categorical_accuracy: 0.9637 - 924ms/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2209 - val_categorical_accuracy: 0.9631 - 950ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2271 - val_categorical_accuracy: 0.9631 - 945ms/epoch - 7ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2229 - val_categorical_accuracy: 0.9632 - 928ms/epoch - 7ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2234 - val_categorical_accuracy: 0.9645 - 942ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2449 - val_categorical_accuracy: 0.9611 - 939ms/epoch - 7ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2359 - val_categorical_accuracy: 0.9629 - 925ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2351 - val_categorical_accuracy: 0.9628 - 930ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2422 - val_categorical_accuracy: 0.9632 - 960ms/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2378 - val_categorical_accuracy: 0.9637 - 926ms/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9882 - val_loss: 0.4907 - val_categorical_accuracy: 0.9126 - 920ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9862 - val_loss: 0.2277 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.2220 - val_categorical_accuracy: 0.9644 - 924ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2334 - val_categorical_accuracy: 0.9634 - 936ms/epoch - 7ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.2251 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.2279 - val_categorical_accuracy: 0.9634 - 924ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2401 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2484 - val_categorical_accuracy: 0.9607 - 930ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2409 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2308 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9904 - val_loss: 0.2441 - val_categorical_accuracy: 0.9592 - 930ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2364 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2359 - val_categorical_accuracy: 0.9633 - 920ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2308 - val_categorical_accuracy: 0.9642 - 910ms/epoch - 6ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2355 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2441 - val_categorical_accuracy: 0.9614 - 960ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9896 - val_loss: 0.2488 - val_categorical_accuracy: 0.9607 - 920ms/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2452 - val_categorical_accuracy: 0.9615 - 920ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2374 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2337 - val_categorical_accuracy: 0.9629 - 920ms/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2375 - val_categorical_accuracy: 0.9632 - 920ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2473 - val_categorical_accuracy: 0.9614 - 950ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9902 - val_loss: 0.2470 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9901 - val_loss: 0.2778 - val_categorical_accuracy: 0.9550 - 960ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2431 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2421 - val_categorical_accuracy: 0.9638 - 950ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2537 - val_categorical_accuracy: 0.9623 - 935ms/epoch - 7ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9892 - val_loss: 0.2438 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.2771 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9817 - val_loss: 0.2133 - val_categorical_accuracy: 0.9632 - 940ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.2216 - val_categorical_accuracy: 0.9636 - 914ms/epoch - 6ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2316 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9902 - val_loss: 0.2364 - val_categorical_accuracy: 0.9635 - 934ms/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2320 - val_categorical_accuracy: 0.9640 - 926ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2477 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2491 - val_categorical_accuracy: 0.9618 - 944ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2464 - val_categorical_accuracy: 0.9613 - 930ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2415 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.2487 - val_categorical_accuracy: 0.9604 - 950ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2330 - val_categorical_accuracy: 0.9636 - 924ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2348 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9905 - val_loss: 0.2511 - val_categorical_accuracy: 0.9611 - 920ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9779 - val_loss: 0.1948 - val_categorical_accuracy: 0.9606 - 920ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2100 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2208 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2191 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.2307 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2237 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2297 - val_categorical_accuracy: 0.9639 - 950ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2321 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2333 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2326 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.2354 - val_categorical_accuracy: 0.9627 - 950ms/epoch - 7ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.2512 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9874 - val_loss: 0.8808 - val_categorical_accuracy: 0.8391 - 930ms/epoch - 7ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9837 - val_loss: 0.2223 - val_categorical_accuracy: 0.9607 - 950ms/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.2205 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9911 - val_loss: 0.2276 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2331 - val_categorical_accuracy: 0.9620 - 940ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2318 - val_categorical_accuracy: 0.9637 - 924ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2385 - val_categorical_accuracy: 0.9624 - 936ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2353 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2369 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2330 - val_categorical_accuracy: 0.9639 - 928ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2356 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2357 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.2447 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2387 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2504 - val_categorical_accuracy: 0.9586 - 940ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2467 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.2461 - val_categorical_accuracy: 0.9630 - 930ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2485 - val_categorical_accuracy: 0.9635 - 924ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2447 - val_categorical_accuracy: 0.9636 - 950ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9855 - val_loss: 0.2451 - val_categorical_accuracy: 0.9573 - 925ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9903 - val_loss: 0.2445 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2382 - val_categorical_accuracy: 0.9634 - 950ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2550 - val_categorical_accuracy: 0.9601 - 930ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2439 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2349 - val_categorical_accuracy: 0.9635 - 944ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2484 - val_categorical_accuracy: 0.9614 - 940ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2369 - val_categorical_accuracy: 0.9620 - 934ms/epoch - 7ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9908 - val_loss: 0.2411 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2656 - val_categorical_accuracy: 0.9574 - 944ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9902 - val_loss: 0.2500 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2489 - val_categorical_accuracy: 0.9608 - 924ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2438 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.2415 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2438 - val_categorical_accuracy: 0.9637 - 920ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2441 - val_categorical_accuracy: 0.9628 - 928ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2404 - val_categorical_accuracy: 0.9634 - 930ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2561 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2478 - val_categorical_accuracy: 0.9627 - 930ms/epoch - 7ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2392 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9911 - val_loss: 0.2401 - val_categorical_accuracy: 0.9639 - 934ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.2563 - val_categorical_accuracy: 0.9623 - 920ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2418 - val_categorical_accuracy: 0.9640 - 950ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2463 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2432 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2599 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2395 - val_categorical_accuracy: 0.9644 - 950ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2463 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2479 - val_categorical_accuracy: 0.9624 - 920ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2614 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2476 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9893 - val_loss: 0.5530 - val_categorical_accuracy: 0.9041 - 930ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9811 - val_loss: 0.2187 - val_categorical_accuracy: 0.9643 - 950ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.2263 - val_categorical_accuracy: 0.9626 - 940ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2313 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2412 - val_categorical_accuracy: 0.9623 - 944ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.2372 - val_categorical_accuracy: 0.9637 - 950ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2413 - val_categorical_accuracy: 0.9621 - 920ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2438 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9905 - val_loss: 0.2438 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2459 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9817 - val_loss: 0.2292 - val_categorical_accuracy: 0.9594 - 944ms/epoch - 7ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.2251 - val_categorical_accuracy: 0.9623 - 960ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9910 - val_loss: 0.2323 - val_categorical_accuracy: 0.9619 - 924ms/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2542 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2352 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2377 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2457 - val_categorical_accuracy: 0.9612 - 934ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9906 - val_loss: 0.2420 - val_categorical_accuracy: 0.9623 - 947ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2392 - val_categorical_accuracy: 0.9635 - 958ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2393 - val_categorical_accuracy: 0.9633 - 945ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2400 - val_categorical_accuracy: 0.9621 - 930ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2427 - val_categorical_accuracy: 0.9633 - 964ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.2594 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2383 - val_categorical_accuracy: 0.9632 - 914ms/epoch - 6ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2372 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2640 - val_categorical_accuracy: 0.9569 - 970ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2685 - val_categorical_accuracy: 0.9605 - 930ms/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.2467 - val_categorical_accuracy: 0.9631 - 930ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2592 - val_categorical_accuracy: 0.9604 - 950ms/epoch - 7ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.2559 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2546 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2702 - val_categorical_accuracy: 0.9603 - 940ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9907 - val_loss: 0.2618 - val_categorical_accuracy: 0.9622 - 930ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2465 - val_categorical_accuracy: 0.9624 - 927ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2501 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2497 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9909 - val_loss: 0.2513 - val_categorical_accuracy: 0.9625 - 928ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.2619 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2454 - val_categorical_accuracy: 0.9640 - 944ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2527 - val_categorical_accuracy: 0.9633 - 930ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2485 - val_categorical_accuracy: 0.9627 - 920ms/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.2608 - val_categorical_accuracy: 0.9611 - 930ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2667 - val_categorical_accuracy: 0.9558 - 920ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2602 - val_categorical_accuracy: 0.9610 - 940ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2558 - val_categorical_accuracy: 0.9629 - 924ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9909 - val_loss: 0.2589 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2542 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2471 - val_categorical_accuracy: 0.9619 - 940ms/epoch - 7ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.2458 - val_categorical_accuracy: 0.9634 - 1s/epoch - 8ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.2481 - val_categorical_accuracy: 0.9632 - 950ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.2458 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2454 - val_categorical_accuracy: 0.9632 - 980ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2582 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2497 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9904 - val_loss: 0.2526 - val_categorical_accuracy: 0.9639 - 954ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9906 - val_loss: 0.2476 - val_categorical_accuracy: 0.9640 - 956ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2511 - val_categorical_accuracy: 0.9619 - 950ms/epoch - 7ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2599 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2597 - val_categorical_accuracy: 0.9620 - 950ms/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2511 - val_categorical_accuracy: 0.9629 - 934ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2474 - val_categorical_accuracy: 0.9632 - 930ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2543 - val_categorical_accuracy: 0.9628 - 954ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9907 - val_loss: 0.2523 - val_categorical_accuracy: 0.9625 - 930ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2480 - val_categorical_accuracy: 0.9640 - 944ms/epoch - 7ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2777 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2616 - val_categorical_accuracy: 0.9604 - 940ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2584 - val_categorical_accuracy: 0.9609 - 930ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.2764 - val_categorical_accuracy: 0.9559 - 944ms/epoch - 7ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9692 - val_loss: 0.1968 - val_categorical_accuracy: 0.9537 - 970ms/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2103 - val_categorical_accuracy: 0.9634 - 940ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9911 - val_loss: 0.2185 - val_categorical_accuracy: 0.9645 - 960ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.2257 - val_categorical_accuracy: 0.9635 - 954ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2275 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2414 - val_categorical_accuracy: 0.9641 - 950ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2579 - val_categorical_accuracy: 0.9561 - 960ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2311 - val_categorical_accuracy: 0.9654 - 950ms/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2409 - val_categorical_accuracy: 0.9619 - 944ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2662 - val_categorical_accuracy: 0.9571 - 950ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2371 - val_categorical_accuracy: 0.9625 - 964ms/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9911 - val_loss: 0.2443 - val_categorical_accuracy: 0.9648 - 940ms/epoch - 7ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2396 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2488 - val_categorical_accuracy: 0.9615 - 960ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2446 - val_categorical_accuracy: 0.9629 - 944ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2409 - val_categorical_accuracy: 0.9642 - 950ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2496 - val_categorical_accuracy: 0.9614 - 950ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2453 - val_categorical_accuracy: 0.9647 - 940ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2486 - val_categorical_accuracy: 0.9641 - 930ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2468 - val_categorical_accuracy: 0.9618 - 940ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2529 - val_categorical_accuracy: 0.9627 - 960ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9909 - val_loss: 0.2516 - val_categorical_accuracy: 0.9616 - 940ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.2444 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2468 - val_categorical_accuracy: 0.9634 - 960ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2518 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2451 - val_categorical_accuracy: 0.9636 - 950ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2417 - val_categorical_accuracy: 0.9646 - 950ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2489 - val_categorical_accuracy: 0.9639 - 930ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2595 - val_categorical_accuracy: 0.9619 - 930ms/epoch - 7ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2521 - val_categorical_accuracy: 0.9626 - 934ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.2622 - val_categorical_accuracy: 0.9623 - 950ms/epoch - 7ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9827 - val_loss: 0.2150 - val_categorical_accuracy: 0.9474 - 934ms/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2212 - val_categorical_accuracy: 0.9638 - 930ms/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2313 - val_categorical_accuracy: 0.9639 - 970ms/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2368 - val_categorical_accuracy: 0.9635 - 960ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9903 - val_loss: 0.2352 - val_categorical_accuracy: 0.9606 - 944ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2452 - val_categorical_accuracy: 0.9626 - 950ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2559 - val_categorical_accuracy: 0.9600 - 930ms/epoch - 7ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.2442 - val_categorical_accuracy: 0.9633 - 940ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2368 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2420 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.2498 - val_categorical_accuracy: 0.9631 - 950ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2701 - val_categorical_accuracy: 0.9549 - 940ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2478 - val_categorical_accuracy: 0.9615 - 960ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2418 - val_categorical_accuracy: 0.9629 - 954ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.2508 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2606 - val_categorical_accuracy: 0.9616 - 950ms/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2493 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2498 - val_categorical_accuracy: 0.9623 - 940ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2493 - val_categorical_accuracy: 0.9615 - 930ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9912 - val_loss: 0.2468 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2475 - val_categorical_accuracy: 0.9625 - 950ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9907 - val_loss: 0.2452 - val_categorical_accuracy: 0.9612 - 930ms/epoch - 7ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.3042 - val_categorical_accuracy: 0.9522 - 960ms/epoch - 7ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2625 - val_categorical_accuracy: 0.9599 - 934ms/epoch - 7ms/step
processing fold # 9 
Epoch 1/1500
141/141 - 2s - loss: 1.9570 - categorical_accuracy: 0.2625 - val_loss: 1.7283 - val_categorical_accuracy: 0.3625 - 2s/epoch - 12ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6005 - categorical_accuracy: 0.3937 - val_loss: 1.4173 - val_categorical_accuracy: 0.4300 - 930ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3391 - categorical_accuracy: 0.4932 - val_loss: 1.1793 - val_categorical_accuracy: 0.5426 - 940ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1944 - categorical_accuracy: 0.5550 - val_loss: 1.0028 - val_categorical_accuracy: 0.6438 - 940ms/epoch - 7ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.1241 - categorical_accuracy: 0.5920 - val_loss: 0.9067 - val_categorical_accuracy: 0.6767 - 924ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9670 - categorical_accuracy: 0.6486 - val_loss: 0.9853 - val_categorical_accuracy: 0.6363 - 914ms/epoch - 6ms/step
Epoch 7/1500
141/141 - 1s - loss: 1.0976 - categorical_accuracy: 0.6112 - val_loss: 0.8743 - val_categorical_accuracy: 0.6819 - 920ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8278 - categorical_accuracy: 0.6956 - val_loss: 0.7097 - val_categorical_accuracy: 0.7316 - 934ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7234 - categorical_accuracy: 0.7320 - val_loss: 0.6411 - val_categorical_accuracy: 0.7509 - 930ms/epoch - 7ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.6604 - categorical_accuracy: 0.7531 - val_loss: 0.6811 - val_categorical_accuracy: 0.7414 - 920ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.7324 - categorical_accuracy: 0.7403 - val_loss: 0.5616 - val_categorical_accuracy: 0.7916 - 940ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6157 - categorical_accuracy: 0.7755 - val_loss: 0.5548 - val_categorical_accuracy: 0.7962 - 914ms/epoch - 6ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5798 - categorical_accuracy: 0.7893 - val_loss: 0.5285 - val_categorical_accuracy: 0.7973 - 920ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5239 - categorical_accuracy: 0.8069 - val_loss: 0.8322 - val_categorical_accuracy: 0.7113 - 914ms/epoch - 6ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5354 - categorical_accuracy: 0.8066 - val_loss: 0.4355 - val_categorical_accuracy: 0.8439 - 920ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.4676 - categorical_accuracy: 0.8280 - val_loss: 0.4384 - val_categorical_accuracy: 0.8423 - 920ms/epoch - 7ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.4911 - categorical_accuracy: 0.8251 - val_loss: 0.4511 - val_categorical_accuracy: 0.8308 - 920ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4215 - categorical_accuracy: 0.8445 - val_loss: 0.4849 - val_categorical_accuracy: 0.8214 - 940ms/epoch - 7ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4197 - categorical_accuracy: 0.8488 - val_loss: 0.4118 - val_categorical_accuracy: 0.8481 - 924ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.8930 - categorical_accuracy: 0.7035 - val_loss: 0.5493 - val_categorical_accuracy: 0.7954 - 920ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4585 - categorical_accuracy: 0.8328 - val_loss: 0.4075 - val_categorical_accuracy: 0.8539 - 940ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.3975 - categorical_accuracy: 0.8548 - val_loss: 0.3914 - val_categorical_accuracy: 0.8573 - 918ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.3845 - categorical_accuracy: 0.8609 - val_loss: 0.3888 - val_categorical_accuracy: 0.8540 - 925ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3878 - categorical_accuracy: 0.8635 - val_loss: 0.3408 - val_categorical_accuracy: 0.8796 - 924ms/epoch - 7ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3326 - categorical_accuracy: 0.8799 - val_loss: 0.3753 - val_categorical_accuracy: 0.8597 - 934ms/epoch - 7ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3215 - categorical_accuracy: 0.8843 - val_loss: 0.3540 - val_categorical_accuracy: 0.8709 - 920ms/epoch - 7ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3201 - categorical_accuracy: 0.8863 - val_loss: 0.3193 - val_categorical_accuracy: 0.8836 - 940ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3024 - categorical_accuracy: 0.8911 - val_loss: 0.2905 - val_categorical_accuracy: 0.8953 - 950ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3142 - categorical_accuracy: 0.8901 - val_loss: 0.3151 - val_categorical_accuracy: 0.8843 - 930ms/epoch - 7ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3849 - categorical_accuracy: 0.8790 - val_loss: 1.6968 - val_categorical_accuracy: 0.3874 - 930ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4310 - categorical_accuracy: 0.8490 - val_loss: 0.3097 - val_categorical_accuracy: 0.8874 - 924ms/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3045 - categorical_accuracy: 0.8956 - val_loss: 0.2819 - val_categorical_accuracy: 0.9006 - 916ms/epoch - 6ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.2540 - categorical_accuracy: 0.9103 - val_loss: 0.3150 - val_categorical_accuracy: 0.8829 - 920ms/epoch - 7ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2454 - categorical_accuracy: 0.9126 - val_loss: 0.2401 - val_categorical_accuracy: 0.9169 - 930ms/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2961 - categorical_accuracy: 0.8994 - val_loss: 0.2529 - val_categorical_accuracy: 0.9098 - 940ms/epoch - 7ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2310 - categorical_accuracy: 0.9187 - val_loss: 0.2328 - val_categorical_accuracy: 0.9179 - 934ms/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2354 - categorical_accuracy: 0.9174 - val_loss: 0.2231 - val_categorical_accuracy: 0.9216 - 930ms/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3114 - categorical_accuracy: 0.9021 - val_loss: 0.2838 - val_categorical_accuracy: 0.8996 - 929ms/epoch - 7ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2167 - categorical_accuracy: 0.9242 - val_loss: 0.2312 - val_categorical_accuracy: 0.9191 - 930ms/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2230 - categorical_accuracy: 0.9229 - val_loss: 0.2472 - val_categorical_accuracy: 0.9123 - 920ms/epoch - 7ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2145 - categorical_accuracy: 0.9267 - val_loss: 0.2168 - val_categorical_accuracy: 0.9249 - 930ms/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.1951 - categorical_accuracy: 0.9316 - val_loss: 0.2048 - val_categorical_accuracy: 0.9269 - 940ms/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2041 - categorical_accuracy: 0.9291 - val_loss: 0.2240 - val_categorical_accuracy: 0.9214 - 930ms/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2060 - categorical_accuracy: 0.9297 - val_loss: 0.2286 - val_categorical_accuracy: 0.9222 - 924ms/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.1727 - categorical_accuracy: 0.9409 - val_loss: 0.2011 - val_categorical_accuracy: 0.9293 - 930ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.3065 - categorical_accuracy: 0.9057 - val_loss: 0.2480 - val_categorical_accuracy: 0.9134 - 920ms/epoch - 7ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.1763 - categorical_accuracy: 0.9389 - val_loss: 0.1931 - val_categorical_accuracy: 0.9328 - 915ms/epoch - 6ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.1791 - categorical_accuracy: 0.9385 - val_loss: 0.1875 - val_categorical_accuracy: 0.9361 - 930ms/epoch - 7ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.1643 - categorical_accuracy: 0.9434 - val_loss: 1.0003 - val_categorical_accuracy: 0.7453 - 924ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.1924 - categorical_accuracy: 0.9368 - val_loss: 0.1916 - val_categorical_accuracy: 0.9361 - 920ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.1599 - categorical_accuracy: 0.9450 - val_loss: 0.9631 - val_categorical_accuracy: 0.7509 - 930ms/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.1704 - categorical_accuracy: 0.9425 - val_loss: 0.1906 - val_categorical_accuracy: 0.9347 - 940ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.1914 - categorical_accuracy: 0.9376 - val_loss: 0.1891 - val_categorical_accuracy: 0.9356 - 918ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.1475 - categorical_accuracy: 0.9496 - val_loss: 0.1819 - val_categorical_accuracy: 0.9387 - 1s/epoch - 10ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.1508 - categorical_accuracy: 0.9481 - val_loss: 0.1801 - val_categorical_accuracy: 0.9380 - 1s/epoch - 8ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2013 - categorical_accuracy: 0.9361 - val_loss: 0.2209 - val_categorical_accuracy: 0.9260 - 971ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1396 - categorical_accuracy: 0.9533 - val_loss: 0.2685 - val_categorical_accuracy: 0.9097 - 983ms/epoch - 7ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.1425 - categorical_accuracy: 0.9517 - val_loss: 0.1990 - val_categorical_accuracy: 0.9373 - 988ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1410 - categorical_accuracy: 0.9520 - val_loss: 0.4890 - val_categorical_accuracy: 0.8375 - 1s/epoch - 8ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1587 - categorical_accuracy: 0.9479 - val_loss: 0.1630 - val_categorical_accuracy: 0.9448 - 978ms/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1233 - categorical_accuracy: 0.9580 - val_loss: 0.1857 - val_categorical_accuracy: 0.9354 - 1s/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1495 - categorical_accuracy: 0.9497 - val_loss: 0.1913 - val_categorical_accuracy: 0.9351 - 975ms/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1276 - categorical_accuracy: 0.9564 - val_loss: 0.1732 - val_categorical_accuracy: 0.9423 - 998ms/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1347 - categorical_accuracy: 0.9545 - val_loss: 0.1667 - val_categorical_accuracy: 0.9441 - 1s/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1199 - categorical_accuracy: 0.9590 - val_loss: 0.1572 - val_categorical_accuracy: 0.9465 - 998ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1376 - categorical_accuracy: 0.9542 - val_loss: 0.1666 - val_categorical_accuracy: 0.9446 - 982ms/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1318 - categorical_accuracy: 0.9558 - val_loss: 0.1617 - val_categorical_accuracy: 0.9449 - 1s/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1653 - categorical_accuracy: 0.9486 - val_loss: 0.1822 - val_categorical_accuracy: 0.9383 - 1s/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1205 - categorical_accuracy: 0.9594 - val_loss: 0.1550 - val_categorical_accuracy: 0.9482 - 1s/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1275 - categorical_accuracy: 0.9568 - val_loss: 0.1874 - val_categorical_accuracy: 0.9356 - 1s/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1198 - categorical_accuracy: 0.9595 - val_loss: 0.1579 - val_categorical_accuracy: 0.9472 - 1s/epoch - 7ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1362 - categorical_accuracy: 0.9567 - val_loss: 0.1541 - val_categorical_accuracy: 0.9493 - 999ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1247 - categorical_accuracy: 0.9591 - val_loss: 0.1752 - val_categorical_accuracy: 0.9404 - 998ms/epoch - 7ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1128 - categorical_accuracy: 0.9619 - val_loss: 0.1441 - val_categorical_accuracy: 0.9522 - 993ms/epoch - 7ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1225 - categorical_accuracy: 0.9597 - val_loss: 0.1452 - val_categorical_accuracy: 0.9529 - 983ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1095 - categorical_accuracy: 0.9630 - val_loss: 0.1682 - val_categorical_accuracy: 0.9440 - 1000ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1107 - categorical_accuracy: 0.9633 - val_loss: 0.1724 - val_categorical_accuracy: 0.9444 - 999ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1192 - categorical_accuracy: 0.9616 - val_loss: 0.1525 - val_categorical_accuracy: 0.9502 - 1s/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9630 - val_loss: 0.2517 - val_categorical_accuracy: 0.9122 - 1s/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9683 - val_loss: 0.2371 - val_categorical_accuracy: 0.9256 - 1s/epoch - 7ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1225 - categorical_accuracy: 0.9600 - val_loss: 0.1716 - val_categorical_accuracy: 0.9412 - 995ms/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1084 - categorical_accuracy: 0.9633 - val_loss: 0.1510 - val_categorical_accuracy: 0.9513 - 1s/epoch - 7ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9679 - val_loss: 0.1404 - val_categorical_accuracy: 0.9548 - 825ms/epoch - 6ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1270 - categorical_accuracy: 0.9601 - val_loss: 0.1425 - val_categorical_accuracy: 0.9531 - 810ms/epoch - 6ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1068 - categorical_accuracy: 0.9646 - val_loss: 0.1510 - val_categorical_accuracy: 0.9519 - 837ms/epoch - 6ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9677 - val_loss: 0.1435 - val_categorical_accuracy: 0.9538 - 848ms/epoch - 6ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.0884 - categorical_accuracy: 0.9703 - val_loss: 0.1977 - val_categorical_accuracy: 0.9353 - 982ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1034 - categorical_accuracy: 0.9656 - val_loss: 1.6270 - val_categorical_accuracy: 0.6588 - 996ms/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1869 - categorical_accuracy: 0.9453 - val_loss: 0.1563 - val_categorical_accuracy: 0.9511 - 830ms/epoch - 6ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.0945 - categorical_accuracy: 0.9686 - val_loss: 0.2290 - val_categorical_accuracy: 0.9291 - 935ms/epoch - 7ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1223 - categorical_accuracy: 0.9614 - val_loss: 0.1351 - val_categorical_accuracy: 0.9571 - 917ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9729 - val_loss: 0.1385 - val_categorical_accuracy: 0.9551 - 994ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.0944 - categorical_accuracy: 0.9679 - val_loss: 0.1607 - val_categorical_accuracy: 0.9500 - 858ms/epoch - 6ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.0960 - categorical_accuracy: 0.9678 - val_loss: 0.1439 - val_categorical_accuracy: 0.9533 - 866ms/epoch - 6ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9727 - val_loss: 0.1543 - val_categorical_accuracy: 0.9520 - 974ms/epoch - 7ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.0791 - categorical_accuracy: 0.9731 - val_loss: 0.1730 - val_categorical_accuracy: 0.9437 - 1s/epoch - 8ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1111 - categorical_accuracy: 0.9642 - val_loss: 0.1420 - val_categorical_accuracy: 0.9549 - 951ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9729 - val_loss: 0.1930 - val_categorical_accuracy: 0.9370 - 1s/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1108 - categorical_accuracy: 0.9654 - val_loss: 0.1417 - val_categorical_accuracy: 0.9559 - 1s/epoch - 8ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1209 - categorical_accuracy: 0.9626 - val_loss: 0.1509 - val_categorical_accuracy: 0.9521 - 1s/epoch - 8ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.0889 - categorical_accuracy: 0.9705 - val_loss: 0.1409 - val_categorical_accuracy: 0.9546 - 1s/epoch - 8ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9741 - val_loss: 0.1426 - val_categorical_accuracy: 0.9556 - 1s/epoch - 8ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.0981 - categorical_accuracy: 0.9679 - val_loss: 0.1571 - val_categorical_accuracy: 0.9481 - 1s/epoch - 7ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9751 - val_loss: 0.1716 - val_categorical_accuracy: 0.9461 - 1s/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.0886 - categorical_accuracy: 0.9707 - val_loss: 0.1527 - val_categorical_accuracy: 0.9493 - 1s/epoch - 8ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9753 - val_loss: 0.1503 - val_categorical_accuracy: 0.9515 - 1s/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1366 - categorical_accuracy: 0.9595 - val_loss: 0.1507 - val_categorical_accuracy: 0.9511 - 1s/epoch - 8ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9741 - val_loss: 0.1609 - val_categorical_accuracy: 0.9514 - 1s/epoch - 8ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1032 - categorical_accuracy: 0.9666 - val_loss: 0.1422 - val_categorical_accuracy: 0.9546 - 1s/epoch - 8ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9759 - val_loss: 0.1358 - val_categorical_accuracy: 0.9586 - 1s/epoch - 8ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9762 - val_loss: 0.1504 - val_categorical_accuracy: 0.9541 - 1s/epoch - 8ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9740 - val_loss: 0.2455 - val_categorical_accuracy: 0.9317 - 910ms/epoch - 6ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1383 - categorical_accuracy: 0.9576 - val_loss: 0.1609 - val_categorical_accuracy: 0.9493 - 861ms/epoch - 6ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9765 - val_loss: 0.1498 - val_categorical_accuracy: 0.9553 - 858ms/epoch - 6ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.0730 - categorical_accuracy: 0.9752 - val_loss: 0.1397 - val_categorical_accuracy: 0.9590 - 811ms/epoch - 6ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9750 - val_loss: 0.1551 - val_categorical_accuracy: 0.9525 - 819ms/epoch - 6ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9733 - val_loss: 0.1612 - val_categorical_accuracy: 0.9488 - 894ms/epoch - 6ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9690 - val_loss: 0.1421 - val_categorical_accuracy: 0.9566 - 1s/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9756 - val_loss: 0.1371 - val_categorical_accuracy: 0.9580 - 1s/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9752 - val_loss: 0.1936 - val_categorical_accuracy: 0.9449 - 1s/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9762 - val_loss: 0.1562 - val_categorical_accuracy: 0.9539 - 1s/epoch - 8ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9766 - val_loss: 0.1506 - val_categorical_accuracy: 0.9530 - 1s/epoch - 8ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9755 - val_loss: 0.1497 - val_categorical_accuracy: 0.9535 - 1s/epoch - 8ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1645 - categorical_accuracy: 0.9520 - val_loss: 0.1363 - val_categorical_accuracy: 0.9581 - 1s/epoch - 8ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9768 - val_loss: 0.1326 - val_categorical_accuracy: 0.9589 - 839ms/epoch - 6ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9762 - val_loss: 0.1316 - val_categorical_accuracy: 0.9600 - 842ms/epoch - 6ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9776 - val_loss: 0.1404 - val_categorical_accuracy: 0.9587 - 818ms/epoch - 6ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9741 - val_loss: 0.1554 - val_categorical_accuracy: 0.9518 - 840ms/epoch - 6ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9788 - val_loss: 0.1776 - val_categorical_accuracy: 0.9472 - 930ms/epoch - 7ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9765 - val_loss: 0.1423 - val_categorical_accuracy: 0.9564 - 1s/epoch - 8ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.0957 - categorical_accuracy: 0.9696 - val_loss: 0.1516 - val_categorical_accuracy: 0.9557 - 1s/epoch - 8ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9779 - val_loss: 0.1425 - val_categorical_accuracy: 0.9568 - 1s/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9784 - val_loss: 0.6269 - val_categorical_accuracy: 0.8404 - 1s/epoch - 8ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1782 - categorical_accuracy: 0.9481 - val_loss: 0.1499 - val_categorical_accuracy: 0.9544 - 1s/epoch - 8ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9786 - val_loss: 0.1404 - val_categorical_accuracy: 0.9579 - 1s/epoch - 8ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9772 - val_loss: 0.1846 - val_categorical_accuracy: 0.9447 - 1s/epoch - 8ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9781 - val_loss: 0.1783 - val_categorical_accuracy: 0.9463 - 1s/epoch - 10ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9777 - val_loss: 0.1356 - val_categorical_accuracy: 0.9606 - 949ms/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9778 - val_loss: 0.2340 - val_categorical_accuracy: 0.9296 - 963ms/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0889 - categorical_accuracy: 0.9705 - val_loss: 0.1333 - val_categorical_accuracy: 0.9613 - 1s/epoch - 8ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9793 - val_loss: 0.1515 - val_categorical_accuracy: 0.9554 - 1s/epoch - 8ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9782 - val_loss: 0.1511 - val_categorical_accuracy: 0.9544 - 1s/epoch - 8ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9782 - val_loss: 0.1378 - val_categorical_accuracy: 0.9590 - 1s/epoch - 9ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9780 - val_loss: 0.1450 - val_categorical_accuracy: 0.9573 - 1s/epoch - 9ms/step
Epoch 145/1500
141/141 - 2s - loss: 0.0819 - categorical_accuracy: 0.9734 - val_loss: 0.1404 - val_categorical_accuracy: 0.9598 - 2s/epoch - 13ms/step
Epoch 146/1500
141/141 - 2s - loss: 0.0587 - categorical_accuracy: 0.9797 - val_loss: 0.1582 - val_categorical_accuracy: 0.9565 - 2s/epoch - 15ms/step
Epoch 147/1500
141/141 - 2s - loss: 0.0681 - categorical_accuracy: 0.9766 - val_loss: 0.1414 - val_categorical_accuracy: 0.9569 - 2s/epoch - 16ms/step
Epoch 148/1500
141/141 - 2s - loss: 0.0622 - categorical_accuracy: 0.9786 - val_loss: 0.1329 - val_categorical_accuracy: 0.9617 - 2s/epoch - 15ms/step
Epoch 149/1500
141/141 - 2s - loss: 0.0576 - categorical_accuracy: 0.9801 - val_loss: 0.1392 - val_categorical_accuracy: 0.9616 - 2s/epoch - 15ms/step
Epoch 150/1500
141/141 - 2s - loss: 0.0574 - categorical_accuracy: 0.9801 - val_loss: 0.1553 - val_categorical_accuracy: 0.9543 - 2s/epoch - 14ms/step
Epoch 151/1500
141/141 - 2s - loss: 0.1006 - categorical_accuracy: 0.9687 - val_loss: 0.1466 - val_categorical_accuracy: 0.9541 - 2s/epoch - 14ms/step
Epoch 152/1500
141/141 - 2s - loss: 0.0590 - categorical_accuracy: 0.9798 - val_loss: 0.1395 - val_categorical_accuracy: 0.9591 - 2s/epoch - 14ms/step
Epoch 153/1500
141/141 - 2s - loss: 0.0570 - categorical_accuracy: 0.9802 - val_loss: 0.1486 - val_categorical_accuracy: 0.9539 - 2s/epoch - 14ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1714 - categorical_accuracy: 0.9507 - val_loss: 0.1541 - val_categorical_accuracy: 0.9546 - 1s/epoch - 8ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9801 - val_loss: 0.1440 - val_categorical_accuracy: 0.9578 - 1s/epoch - 10ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9792 - val_loss: 0.1570 - val_categorical_accuracy: 0.9530 - 904ms/epoch - 6ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9793 - val_loss: 0.1436 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0818 - categorical_accuracy: 0.9735 - val_loss: 0.1318 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9812 - val_loss: 0.1875 - val_categorical_accuracy: 0.9446 - 1s/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9780 - val_loss: 0.1853 - val_categorical_accuracy: 0.9466 - 1s/epoch - 9ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9797 - val_loss: 0.1316 - val_categorical_accuracy: 0.9616 - 1s/epoch - 9ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9799 - val_loss: 0.2710 - val_categorical_accuracy: 0.9247 - 1s/epoch - 9ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9782 - val_loss: 0.3981 - val_categorical_accuracy: 0.8962 - 1s/epoch - 9ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1429 - categorical_accuracy: 0.9587 - val_loss: 0.1378 - val_categorical_accuracy: 0.9607 - 1s/epoch - 8ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9803 - val_loss: 0.1548 - val_categorical_accuracy: 0.9537 - 1s/epoch - 8ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9805 - val_loss: 0.1344 - val_categorical_accuracy: 0.9623 - 1s/epoch - 8ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9799 - val_loss: 0.2057 - val_categorical_accuracy: 0.9405 - 1s/epoch - 9ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9796 - val_loss: 0.1411 - val_categorical_accuracy: 0.9606 - 945ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9793 - val_loss: 0.1361 - val_categorical_accuracy: 0.9625 - 1s/epoch - 9ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9812 - val_loss: 0.1714 - val_categorical_accuracy: 0.9496 - 1s/epoch - 10ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9794 - val_loss: 0.1381 - val_categorical_accuracy: 0.9618 - 1s/epoch - 9ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9801 - val_loss: 0.1326 - val_categorical_accuracy: 0.9627 - 1s/epoch - 9ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9810 - val_loss: 0.1672 - val_categorical_accuracy: 0.9561 - 1s/epoch - 9ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9740 - val_loss: 0.1378 - val_categorical_accuracy: 0.9621 - 1s/epoch - 9ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1496 - val_categorical_accuracy: 0.9578 - 1s/epoch - 9ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9714 - val_loss: 0.1422 - val_categorical_accuracy: 0.9589 - 1s/epoch - 9ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9818 - val_loss: 0.1319 - val_categorical_accuracy: 0.9634 - 1s/epoch - 9ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9818 - val_loss: 0.1514 - val_categorical_accuracy: 0.9583 - 832ms/epoch - 6ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9797 - val_loss: 0.1499 - val_categorical_accuracy: 0.9565 - 1s/epoch - 9ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9816 - val_loss: 0.1702 - val_categorical_accuracy: 0.9517 - 1s/epoch - 9ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9813 - val_loss: 0.1396 - val_categorical_accuracy: 0.9608 - 1s/epoch - 9ms/step
Epoch 182/1500
141/141 - 3s - loss: 0.0679 - categorical_accuracy: 0.9773 - val_loss: 0.1359 - val_categorical_accuracy: 0.9611 - 3s/epoch - 19ms/step
Epoch 183/1500
141/141 - 10s - loss: 0.0535 - categorical_accuracy: 0.9814 - val_loss: 0.1589 - val_categorical_accuracy: 0.9546 - 10s/epoch - 73ms/step
Epoch 184/1500
141/141 - 20s - loss: 0.0537 - categorical_accuracy: 0.9811 - val_loss: 0.1465 - val_categorical_accuracy: 0.9602 - 20s/epoch - 144ms/step
Epoch 185/1500
141/141 - 10s - loss: 0.0527 - categorical_accuracy: 0.9816 - val_loss: 0.1471 - val_categorical_accuracy: 0.9607 - 10s/epoch - 69ms/step
Epoch 186/1500
141/141 - 24s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1747 - val_categorical_accuracy: 0.9532 - 24s/epoch - 169ms/step
Epoch 187/1500
141/141 - 28s - loss: 0.0808 - categorical_accuracy: 0.9742 - val_loss: 0.1337 - val_categorical_accuracy: 0.9608 - 28s/epoch - 199ms/step
Epoch 188/1500
141/141 - 21s - loss: 0.0510 - categorical_accuracy: 0.9822 - val_loss: 0.1495 - val_categorical_accuracy: 0.9600 - 21s/epoch - 146ms/step
Epoch 189/1500
141/141 - 29s - loss: 0.0821 - categorical_accuracy: 0.9735 - val_loss: 0.1415 - val_categorical_accuracy: 0.9567 - 29s/epoch - 205ms/step
Epoch 190/1500
141/141 - 31s - loss: 0.0516 - categorical_accuracy: 0.9822 - val_loss: 0.1361 - val_categorical_accuracy: 0.9622 - 31s/epoch - 219ms/step
Epoch 191/1500
141/141 - 22s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1502 - val_categorical_accuracy: 0.9559 - 22s/epoch - 158ms/step
Epoch 192/1500
141/141 - 9s - loss: 0.0728 - categorical_accuracy: 0.9760 - val_loss: 0.1433 - val_categorical_accuracy: 0.9599 - 9s/epoch - 63ms/step
Epoch 193/1500
141/141 - 19s - loss: 0.0534 - categorical_accuracy: 0.9819 - val_loss: 0.1818 - val_categorical_accuracy: 0.9496 - 19s/epoch - 131ms/step
Epoch 194/1500
141/141 - 7s - loss: 0.0507 - categorical_accuracy: 0.9821 - val_loss: 0.1555 - val_categorical_accuracy: 0.9583 - 7s/epoch - 52ms/step
Epoch 195/1500
141/141 - 6s - loss: 0.0567 - categorical_accuracy: 0.9804 - val_loss: 0.1370 - val_categorical_accuracy: 0.9617 - 6s/epoch - 42ms/step
Epoch 196/1500
141/141 - 7s - loss: 0.0512 - categorical_accuracy: 0.9819 - val_loss: 0.1400 - val_categorical_accuracy: 0.9627 - 7s/epoch - 52ms/step
Epoch 197/1500
141/141 - 22s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.1499 - val_categorical_accuracy: 0.9599 - 22s/epoch - 156ms/step
Epoch 198/1500
141/141 - 15s - loss: 0.0686 - categorical_accuracy: 0.9777 - val_loss: 0.1643 - val_categorical_accuracy: 0.9484 - 15s/epoch - 107ms/step
Epoch 199/1500
141/141 - 14s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1373 - val_categorical_accuracy: 0.9630 - 14s/epoch - 97ms/step
Epoch 200/1500
141/141 - 15s - loss: 0.0501 - categorical_accuracy: 0.9821 - val_loss: 0.1356 - val_categorical_accuracy: 0.9643 - 15s/epoch - 106ms/step
Epoch 201/1500
141/141 - 40s - loss: 0.0513 - categorical_accuracy: 0.9822 - val_loss: 0.2207 - val_categorical_accuracy: 0.9359 - 40s/epoch - 283ms/step
Epoch 202/1500
141/141 - 25s - loss: 0.1181 - categorical_accuracy: 0.9658 - val_loss: 0.1424 - val_categorical_accuracy: 0.9568 - 25s/epoch - 181ms/step
Epoch 203/1500
141/141 - 29s - loss: 0.0505 - categorical_accuracy: 0.9827 - val_loss: 0.1338 - val_categorical_accuracy: 0.9626 - 29s/epoch - 205ms/step
Epoch 204/1500
141/141 - 9s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1320 - val_categorical_accuracy: 0.9638 - 9s/epoch - 61ms/step
Epoch 205/1500
141/141 - 13s - loss: 0.0485 - categorical_accuracy: 0.9829 - val_loss: 0.1426 - val_categorical_accuracy: 0.9617 - 13s/epoch - 89ms/step
Epoch 206/1500
141/141 - 9s - loss: 0.0494 - categorical_accuracy: 0.9824 - val_loss: 0.1439 - val_categorical_accuracy: 0.9601 - 9s/epoch - 65ms/step
Epoch 207/1500
141/141 - 15s - loss: 0.0490 - categorical_accuracy: 0.9827 - val_loss: 0.1414 - val_categorical_accuracy: 0.9615 - 15s/epoch - 106ms/step
Epoch 208/1500
141/141 - 13s - loss: 0.0502 - categorical_accuracy: 0.9824 - val_loss: 0.1670 - val_categorical_accuracy: 0.9563 - 13s/epoch - 90ms/step
Epoch 209/1500
141/141 - 5s - loss: 0.1070 - categorical_accuracy: 0.9685 - val_loss: 0.1780 - val_categorical_accuracy: 0.9434 - 5s/epoch - 38ms/step
Epoch 210/1500
141/141 - 2s - loss: 0.0525 - categorical_accuracy: 0.9820 - val_loss: 0.1446 - val_categorical_accuracy: 0.9602 - 2s/epoch - 14ms/step
Epoch 211/1500
141/141 - 12s - loss: 0.0992 - categorical_accuracy: 0.9707 - val_loss: 0.1456 - val_categorical_accuracy: 0.9552 - 12s/epoch - 84ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9819 - val_loss: 0.1355 - val_categorical_accuracy: 0.9619 - 756ms/epoch - 5ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9828 - val_loss: 0.1423 - val_categorical_accuracy: 0.9597 - 903ms/epoch - 6ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1442 - val_categorical_accuracy: 0.9599 - 908ms/epoch - 6ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.1400 - val_categorical_accuracy: 0.9621 - 849ms/epoch - 6ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9836 - val_loss: 0.1417 - val_categorical_accuracy: 0.9622 - 955ms/epoch - 7ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9821 - val_loss: 0.1491 - val_categorical_accuracy: 0.9596 - 1s/epoch - 7ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9829 - val_loss: 0.1446 - val_categorical_accuracy: 0.9635 - 1s/epoch - 7ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.1432 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.1456 - val_categorical_accuracy: 0.9600 - 1s/epoch - 9ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.1388 - val_categorical_accuracy: 0.9625 - 937ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9734 - val_loss: 0.1403 - val_categorical_accuracy: 0.9576 - 909ms/epoch - 6ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9834 - val_loss: 0.1422 - val_categorical_accuracy: 0.9594 - 1s/epoch - 9ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1384 - val_categorical_accuracy: 0.9618 - 1s/epoch - 8ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1511 - val_categorical_accuracy: 0.9622 - 1s/epoch - 8ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9834 - val_loss: 0.1634 - val_categorical_accuracy: 0.9589 - 1s/epoch - 8ms/step
Epoch 227/1500
141/141 - 2s - loss: 0.0722 - categorical_accuracy: 0.9767 - val_loss: 0.1448 - val_categorical_accuracy: 0.9621 - 2s/epoch - 11ms/step
Epoch 228/1500
141/141 - 9s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.1487 - val_categorical_accuracy: 0.9614 - 9s/epoch - 67ms/step
Epoch 229/1500
141/141 - 16s - loss: 0.0461 - categorical_accuracy: 0.9834 - val_loss: 0.1522 - val_categorical_accuracy: 0.9625 - 16s/epoch - 115ms/step
Epoch 230/1500
141/141 - 12s - loss: 0.0497 - categorical_accuracy: 0.9827 - val_loss: 0.1380 - val_categorical_accuracy: 0.9637 - 12s/epoch - 82ms/step
Epoch 231/1500
141/141 - 14s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1435 - val_categorical_accuracy: 0.9631 - 14s/epoch - 97ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9832 - val_loss: 0.1604 - val_categorical_accuracy: 0.9572 - 798ms/epoch - 6ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9774 - val_loss: 0.1542 - val_categorical_accuracy: 0.9558 - 789ms/epoch - 6ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1546 - val_categorical_accuracy: 0.9589 - 889ms/epoch - 6ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9818 - val_loss: 0.1455 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1481 - val_categorical_accuracy: 0.9611 - 1s/epoch - 9ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9833 - val_loss: 0.1377 - val_categorical_accuracy: 0.9652 - 1s/epoch - 8ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.1564 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9830 - val_loss: 0.1385 - val_categorical_accuracy: 0.9660 - 988ms/epoch - 7ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.1463 - val_categorical_accuracy: 0.9629 - 857ms/epoch - 6ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1698 - val_categorical_accuracy: 0.9569 - 833ms/epoch - 6ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1480 - val_categorical_accuracy: 0.9630 - 1s/epoch - 8ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9835 - val_loss: 0.1511 - val_categorical_accuracy: 0.9622 - 844ms/epoch - 6ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9785 - val_loss: 0.1401 - val_categorical_accuracy: 0.9620 - 879ms/epoch - 6ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.1397 - val_categorical_accuracy: 0.9640 - 1s/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9759 - val_loss: 0.1379 - val_categorical_accuracy: 0.9632 - 1s/epoch - 8ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9839 - val_loss: 0.1373 - val_categorical_accuracy: 0.9660 - 1s/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.1446 - val_categorical_accuracy: 0.9633 - 1s/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9821 - val_loss: 0.1467 - val_categorical_accuracy: 0.9622 - 1s/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.1489 - val_categorical_accuracy: 0.9622 - 888ms/epoch - 6ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1517 - val_categorical_accuracy: 0.9619 - 963ms/epoch - 7ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1437 - val_categorical_accuracy: 0.9628 - 929ms/epoch - 7ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9817 - val_loss: 0.1374 - val_categorical_accuracy: 0.9643 - 987ms/epoch - 7ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.1452 - val_categorical_accuracy: 0.9639 - 916ms/epoch - 6ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9806 - val_loss: 0.1384 - val_categorical_accuracy: 0.9650 - 952ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.1470 - val_categorical_accuracy: 0.9630 - 947ms/epoch - 7ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9847 - val_loss: 0.1436 - val_categorical_accuracy: 0.9650 - 896ms/epoch - 6ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9798 - val_loss: 0.1550 - val_categorical_accuracy: 0.9576 - 967ms/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9798 - val_loss: 0.1513 - val_categorical_accuracy: 0.9586 - 834ms/epoch - 6ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1567 - val_categorical_accuracy: 0.9589 - 899ms/epoch - 6ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9845 - val_loss: 0.1426 - val_categorical_accuracy: 0.9641 - 1s/epoch - 7ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.1433 - val_categorical_accuracy: 0.9642 - 884ms/epoch - 6ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9835 - val_loss: 0.1465 - val_categorical_accuracy: 0.9633 - 931ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9836 - val_loss: 0.1700 - val_categorical_accuracy: 0.9576 - 1s/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1463 - val_categorical_accuracy: 0.9622 - 950ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.1713 - val_categorical_accuracy: 0.9575 - 886ms/epoch - 6ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1424 - val_categorical_accuracy: 0.9649 - 907ms/epoch - 6ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.2360 - val_categorical_accuracy: 0.9381 - 1s/epoch - 8ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9681 - val_loss: 0.1324 - val_categorical_accuracy: 0.9660 - 993ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.1540 - val_categorical_accuracy: 0.9605 - 872ms/epoch - 6ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1522 - val_categorical_accuracy: 0.9610 - 976ms/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9843 - val_loss: 0.1476 - val_categorical_accuracy: 0.9632 - 1s/epoch - 8ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9811 - val_loss: 0.1408 - val_categorical_accuracy: 0.9622 - 1s/epoch - 8ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1377 - val_categorical_accuracy: 0.9646 - 957ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1499 - val_categorical_accuracy: 0.9621 - 875ms/epoch - 6ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1931 - val_categorical_accuracy: 0.9481 - 996ms/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.1386 - val_categorical_accuracy: 0.9641 - 970ms/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.1525 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9842 - val_loss: 0.1561 - val_categorical_accuracy: 0.9613 - 861ms/epoch - 6ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1530 - val_categorical_accuracy: 0.9641 - 980ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.1549 - val_categorical_accuracy: 0.9621 - 768ms/epoch - 5ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.1504 - val_categorical_accuracy: 0.9624 - 772ms/epoch - 5ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1536 - val_categorical_accuracy: 0.9612 - 916ms/epoch - 6ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9844 - val_loss: 0.2045 - val_categorical_accuracy: 0.9483 - 1s/epoch - 8ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.1593 - val_categorical_accuracy: 0.9620 - 950ms/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9848 - val_loss: 0.1540 - val_categorical_accuracy: 0.9631 - 908ms/epoch - 6ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0855 - categorical_accuracy: 0.9744 - val_loss: 0.1392 - val_categorical_accuracy: 0.9654 - 992ms/epoch - 7ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1410 - val_categorical_accuracy: 0.9659 - 1s/epoch - 7ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.1512 - val_categorical_accuracy: 0.9610 - 964ms/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1519 - val_categorical_accuracy: 0.9617 - 956ms/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.1600 - val_categorical_accuracy: 0.9563 - 921ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9797 - val_loss: 0.1391 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1605 - val_categorical_accuracy: 0.9603 - 972ms/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.1514 - val_categorical_accuracy: 0.9620 - 928ms/epoch - 7ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1558 - val_categorical_accuracy: 0.9606 - 988ms/epoch - 7ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9763 - val_loss: 0.1549 - val_categorical_accuracy: 0.9503 - 944ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9848 - val_loss: 0.1339 - val_categorical_accuracy: 0.9663 - 988ms/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9829 - val_loss: 0.1483 - val_categorical_accuracy: 0.9618 - 932ms/epoch - 7ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1480 - val_categorical_accuracy: 0.9624 - 931ms/epoch - 7ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.1449 - val_categorical_accuracy: 0.9658 - 986ms/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9792 - val_loss: 0.1399 - val_categorical_accuracy: 0.9650 - 888ms/epoch - 6ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1381 - val_categorical_accuracy: 0.9633 - 904ms/epoch - 6ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1498 - val_categorical_accuracy: 0.9636 - 948ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1589 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.1395 - val_categorical_accuracy: 0.9665 - 864ms/epoch - 6ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1462 - val_categorical_accuracy: 0.9644 - 896ms/epoch - 6ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1488 - val_categorical_accuracy: 0.9647 - 960ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9817 - val_loss: 0.1468 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1414 - val_categorical_accuracy: 0.9650 - 952ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.1736 - val_categorical_accuracy: 0.9585 - 982ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1446 - val_categorical_accuracy: 0.9631 - 954ms/epoch - 7ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1550 - val_categorical_accuracy: 0.9643 - 980ms/epoch - 7ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1456 - val_categorical_accuracy: 0.9652 - 914ms/epoch - 6ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9842 - val_loss: 0.1945 - val_categorical_accuracy: 0.9538 - 970ms/epoch - 7ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9847 - val_loss: 0.1393 - val_categorical_accuracy: 0.9662 - 874ms/epoch - 6ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1512 - val_categorical_accuracy: 0.9645 - 890ms/epoch - 6ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.2030 - val_categorical_accuracy: 0.9512 - 944ms/epoch - 7ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1653 - val_categorical_accuracy: 0.9594 - 985ms/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.1613 - val_categorical_accuracy: 0.9620 - 910ms/epoch - 6ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.1459 - val_categorical_accuracy: 0.9659 - 954ms/epoch - 7ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9800 - val_loss: 0.1382 - val_categorical_accuracy: 0.9644 - 960ms/epoch - 7ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1529 - val_categorical_accuracy: 0.9623 - 990ms/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1562 - val_categorical_accuracy: 0.9631 - 840ms/epoch - 6ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9830 - val_loss: 0.2827 - val_categorical_accuracy: 0.9217 - 880ms/epoch - 6ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9831 - val_loss: 0.1449 - val_categorical_accuracy: 0.9663 - 990ms/epoch - 7ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.1452 - val_categorical_accuracy: 0.9649 - 900ms/epoch - 6ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1724 - val_categorical_accuracy: 0.9591 - 950ms/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9835 - val_loss: 0.1586 - val_categorical_accuracy: 0.9595 - 932ms/epoch - 7ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1698 - val_categorical_accuracy: 0.9573 - 978ms/epoch - 7ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9850 - val_loss: 0.1487 - val_categorical_accuracy: 0.9650 - 847ms/epoch - 6ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.1541 - val_categorical_accuracy: 0.9623 - 836ms/epoch - 6ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.1535 - val_categorical_accuracy: 0.9638 - 960ms/epoch - 7ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.1483 - val_categorical_accuracy: 0.9657 - 964ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9746 - val_loss: 0.1414 - val_categorical_accuracy: 0.9605 - 956ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9855 - val_loss: 0.1464 - val_categorical_accuracy: 0.9646 - 998ms/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9867 - val_loss: 0.1475 - val_categorical_accuracy: 0.9645 - 981ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.2016 - val_categorical_accuracy: 0.9501 - 859ms/epoch - 6ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9759 - val_loss: 0.1489 - val_categorical_accuracy: 0.9625 - 792ms/epoch - 6ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1451 - val_categorical_accuracy: 0.9639 - 832ms/epoch - 6ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1486 - val_categorical_accuracy: 0.9640 - 891ms/epoch - 6ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1548 - val_categorical_accuracy: 0.9630 - 774ms/epoch - 5ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1486 - val_categorical_accuracy: 0.9653 - 886ms/epoch - 6ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1605 - val_categorical_accuracy: 0.9631 - 747ms/epoch - 5ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1572 - val_categorical_accuracy: 0.9642 - 769ms/epoch - 5ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9762 - val_loss: 0.1353 - val_categorical_accuracy: 0.9639 - 972ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1551 - val_categorical_accuracy: 0.9622 - 985ms/epoch - 7ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.1485 - val_categorical_accuracy: 0.9653 - 873ms/epoch - 6ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1970 - val_categorical_accuracy: 0.9522 - 837ms/epoch - 6ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.1488 - val_categorical_accuracy: 0.9647 - 1s/epoch - 7ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1469 - val_categorical_accuracy: 0.9655 - 922ms/epoch - 7ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1564 - val_categorical_accuracy: 0.9627 - 974ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1433 - val_categorical_accuracy: 0.9668 - 864ms/epoch - 6ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.1548 - val_categorical_accuracy: 0.9644 - 765ms/epoch - 5ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9863 - val_loss: 0.1483 - val_categorical_accuracy: 0.9670 - 819ms/epoch - 6ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.1580 - val_categorical_accuracy: 0.9620 - 950ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1489 - val_categorical_accuracy: 0.9655 - 1s/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1491 - val_categorical_accuracy: 0.9662 - 1s/epoch - 8ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.9461 - val_categorical_accuracy: 0.8271 - 936ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9784 - val_loss: 0.1440 - val_categorical_accuracy: 0.9656 - 778ms/epoch - 6ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.1588 - val_categorical_accuracy: 0.9611 - 801ms/epoch - 6ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1501 - val_categorical_accuracy: 0.9641 - 975ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1611 - val_categorical_accuracy: 0.9651 - 1s/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1604 - val_categorical_accuracy: 0.9651 - 850ms/epoch - 6ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1588 - val_categorical_accuracy: 0.9630 - 754ms/epoch - 5ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9807 - val_loss: 0.1432 - val_categorical_accuracy: 0.9649 - 840ms/epoch - 6ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1421 - val_categorical_accuracy: 0.9670 - 994ms/epoch - 7ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1546 - val_categorical_accuracy: 0.9627 - 800ms/epoch - 6ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1562 - val_categorical_accuracy: 0.9643 - 780ms/epoch - 6ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9836 - val_loss: 0.1463 - val_categorical_accuracy: 0.9650 - 954ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.1692 - val_categorical_accuracy: 0.9582 - 980ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1808 - val_categorical_accuracy: 0.9540 - 964ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9851 - val_loss: 0.1524 - val_categorical_accuracy: 0.9642 - 950ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1761 - val_categorical_accuracy: 0.9570 - 970ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1677 - val_categorical_accuracy: 0.9611 - 960ms/epoch - 7ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.1577 - val_categorical_accuracy: 0.9647 - 960ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1539 - val_categorical_accuracy: 0.9642 - 960ms/epoch - 7ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1615 - val_categorical_accuracy: 0.9630 - 874ms/epoch - 6ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.1472 - val_categorical_accuracy: 0.9661 - 780ms/epoch - 6ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1586 - val_categorical_accuracy: 0.9632 - 928ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9862 - val_loss: 0.1674 - val_categorical_accuracy: 0.9625 - 980ms/epoch - 7ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2082 - val_categorical_accuracy: 0.9532 - 976ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.1684 - val_categorical_accuracy: 0.9636 - 949ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1539 - val_categorical_accuracy: 0.9651 - 940ms/epoch - 7ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1613 - val_categorical_accuracy: 0.9660 - 988ms/epoch - 7ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1563 - val_categorical_accuracy: 0.9640 - 968ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9791 - val_loss: 0.1399 - val_categorical_accuracy: 0.9635 - 963ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1448 - val_categorical_accuracy: 0.9655 - 988ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1517 - val_categorical_accuracy: 0.9652 - 952ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9864 - val_loss: 0.1651 - val_categorical_accuracy: 0.9599 - 964ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9849 - val_loss: 0.1562 - val_categorical_accuracy: 0.9625 - 964ms/epoch - 7ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1528 - val_categorical_accuracy: 0.9631 - 948ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1500 - val_categorical_accuracy: 0.9663 - 1s/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2496 - val_categorical_accuracy: 0.9497 - 868ms/epoch - 6ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9855 - val_loss: 0.1611 - val_categorical_accuracy: 0.9632 - 764ms/epoch - 5ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.1570 - val_categorical_accuracy: 0.9661 - 796ms/epoch - 6ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.1717 - val_categorical_accuracy: 0.9622 - 932ms/epoch - 7ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9793 - val_loss: 0.1637 - val_categorical_accuracy: 0.9501 - 1s/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1401 - val_categorical_accuracy: 0.9666 - 1s/epoch - 8ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1468 - val_categorical_accuracy: 0.9664 - 972ms/epoch - 7ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.1496 - val_categorical_accuracy: 0.9659 - 996ms/epoch - 7ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1544 - val_categorical_accuracy: 0.9645 - 1s/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1976 - val_categorical_accuracy: 0.9558 - 988ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1577 - val_categorical_accuracy: 0.9630 - 1s/epoch - 8ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1514 - val_categorical_accuracy: 0.9645 - 1s/epoch - 7ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.1567 - val_categorical_accuracy: 0.9651 - 1000ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1706 - val_categorical_accuracy: 0.9587 - 1s/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1689 - val_categorical_accuracy: 0.9591 - 1s/epoch - 7ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1569 - val_categorical_accuracy: 0.9654 - 952ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9858 - val_loss: 0.1660 - val_categorical_accuracy: 0.9633 - 976ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1673 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.1613 - val_categorical_accuracy: 0.9621 - 1s/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1549 - val_categorical_accuracy: 0.9652 - 1s/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1561 - val_categorical_accuracy: 0.9662 - 1s/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1576 - val_categorical_accuracy: 0.9665 - 996ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.1639 - val_categorical_accuracy: 0.9647 - 960ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.1911 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1671 - val_categorical_accuracy: 0.9628 - 1s/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1637 - val_categorical_accuracy: 0.9599 - 993ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1642 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1649 - val_categorical_accuracy: 0.9653 - 1s/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9866 - val_loss: 0.2426 - val_categorical_accuracy: 0.9483 - 996ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9782 - val_loss: 0.1477 - val_categorical_accuracy: 0.9660 - 948ms/epoch - 7ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1559 - val_categorical_accuracy: 0.9636 - 1s/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1558 - val_categorical_accuracy: 0.9634 - 924ms/epoch - 7ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1661 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.1681 - val_categorical_accuracy: 0.9629 - 1s/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.1661 - val_categorical_accuracy: 0.9615 - 932ms/epoch - 7ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1548 - val_categorical_accuracy: 0.9654 - 836ms/epoch - 6ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.1603 - val_categorical_accuracy: 0.9640 - 924ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.1660 - val_categorical_accuracy: 0.9635 - 860ms/epoch - 6ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.1645 - val_categorical_accuracy: 0.9654 - 953ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1604 - val_categorical_accuracy: 0.9641 - 872ms/epoch - 6ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9839 - val_loss: 0.2032 - val_categorical_accuracy: 0.9511 - 923ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1968 - val_categorical_accuracy: 0.9572 - 968ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1602 - val_categorical_accuracy: 0.9653 - 1s/epoch - 7ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1596 - val_categorical_accuracy: 0.9655 - 860ms/epoch - 6ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1587 - val_categorical_accuracy: 0.9646 - 924ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1693 - val_categorical_accuracy: 0.9653 - 1s/epoch - 8ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2099 - val_categorical_accuracy: 0.9522 - 884ms/epoch - 6ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0775 - categorical_accuracy: 0.9767 - val_loss: 0.1445 - val_categorical_accuracy: 0.9662 - 900ms/epoch - 6ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.1670 - val_categorical_accuracy: 0.9624 - 1s/epoch - 8ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.1615 - val_categorical_accuracy: 0.9648 - 1s/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1545 - val_categorical_accuracy: 0.9671 - 884ms/epoch - 6ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1566 - val_categorical_accuracy: 0.9670 - 934ms/epoch - 7ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1548 - val_categorical_accuracy: 0.9653 - 1s/epoch - 8ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9813 - val_loss: 0.1700 - val_categorical_accuracy: 0.9595 - 910ms/epoch - 6ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1642 - val_categorical_accuracy: 0.9653 - 880ms/epoch - 6ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1498 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1599 - val_categorical_accuracy: 0.9647 - 922ms/epoch - 7ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1684 - val_categorical_accuracy: 0.9628 - 850ms/epoch - 6ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1605 - val_categorical_accuracy: 0.9645 - 987ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9868 - val_loss: 0.1565 - val_categorical_accuracy: 0.9639 - 974ms/epoch - 7ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1566 - val_categorical_accuracy: 0.9660 - 855ms/epoch - 6ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.1629 - val_categorical_accuracy: 0.9642 - 956ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.1652 - val_categorical_accuracy: 0.9644 - 881ms/epoch - 6ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9873 - val_loss: 0.1712 - val_categorical_accuracy: 0.9638 - 1s/epoch - 8ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1673 - val_categorical_accuracy: 0.9637 - 1s/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1671 - val_categorical_accuracy: 0.9654 - 974ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.1658 - val_categorical_accuracy: 0.9663 - 1s/epoch - 7ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1611 - val_categorical_accuracy: 0.9665 - 874ms/epoch - 6ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1591 - val_categorical_accuracy: 0.9637 - 1s/epoch - 7ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1667 - val_categorical_accuracy: 0.9618 - 869ms/epoch - 6ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.1920 - val_categorical_accuracy: 0.9589 - 982ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1698 - val_categorical_accuracy: 0.9626 - 974ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1648 - val_categorical_accuracy: 0.9649 - 900ms/epoch - 6ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1591 - val_categorical_accuracy: 0.9661 - 945ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1697 - val_categorical_accuracy: 0.9645 - 1s/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1701 - val_categorical_accuracy: 0.9621 - 1s/epoch - 8ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.1608 - val_categorical_accuracy: 0.9653 - 1s/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1892 - val_categorical_accuracy: 0.9577 - 984ms/epoch - 7ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1603 - val_categorical_accuracy: 0.9637 - 900ms/epoch - 6ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.1696 - val_categorical_accuracy: 0.9639 - 994ms/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1651 - val_categorical_accuracy: 0.9653 - 950ms/epoch - 7ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1746 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9846 - val_loss: 0.1751 - val_categorical_accuracy: 0.9608 - 905ms/epoch - 6ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.1694 - val_categorical_accuracy: 0.9615 - 890ms/epoch - 6ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1717 - val_categorical_accuracy: 0.9642 - 1s/epoch - 7ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1585 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9829 - val_loss: 0.1708 - val_categorical_accuracy: 0.9580 - 969ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.1564 - val_categorical_accuracy: 0.9647 - 987ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1691 - val_categorical_accuracy: 0.9638 - 935ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9779 - val_loss: 0.1574 - val_categorical_accuracy: 0.9635 - 934ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.1530 - val_categorical_accuracy: 0.9665 - 1000ms/epoch - 7ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1872 - val_categorical_accuracy: 0.9580 - 1s/epoch - 8ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9845 - val_loss: 0.1541 - val_categorical_accuracy: 0.9639 - 880ms/epoch - 6ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9876 - val_loss: 0.1606 - val_categorical_accuracy: 0.9643 - 900ms/epoch - 6ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.1527 - val_categorical_accuracy: 0.9673 - 990ms/epoch - 7ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1536 - val_categorical_accuracy: 0.9660 - 1s/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1662 - val_categorical_accuracy: 0.9638 - 920ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9838 - val_loss: 0.1675 - val_categorical_accuracy: 0.9559 - 960ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9869 - val_loss: 0.1565 - val_categorical_accuracy: 0.9656 - 990ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1634 - val_categorical_accuracy: 0.9635 - 1s/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.1642 - val_categorical_accuracy: 0.9650 - 969ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1814 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.1688 - val_categorical_accuracy: 0.9641 - 954ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9876 - val_loss: 0.1664 - val_categorical_accuracy: 0.9643 - 960ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1713 - val_categorical_accuracy: 0.9648 - 854ms/epoch - 6ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1651 - val_categorical_accuracy: 0.9633 - 910ms/epoch - 6ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9723 - val_loss: 0.1468 - val_categorical_accuracy: 0.9647 - 1s/epoch - 7ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1549 - val_categorical_accuracy: 0.9646 - 910ms/epoch - 6ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.1553 - val_categorical_accuracy: 0.9659 - 984ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.1637 - val_categorical_accuracy: 0.9653 - 980ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.1633 - val_categorical_accuracy: 0.9661 - 880ms/epoch - 6ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.1790 - val_categorical_accuracy: 0.9618 - 995ms/epoch - 7ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.1614 - val_categorical_accuracy: 0.9652 - 1s/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.1664 - val_categorical_accuracy: 0.9657 - 894ms/epoch - 6ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1760 - val_categorical_accuracy: 0.9613 - 874ms/epoch - 6ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9756 - val_loss: 0.1541 - val_categorical_accuracy: 0.9639 - 970ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1555 - val_categorical_accuracy: 0.9644 - 970ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.1588 - val_categorical_accuracy: 0.9665 - 950ms/epoch - 7ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.1596 - val_categorical_accuracy: 0.9673 - 990ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.1651 - val_categorical_accuracy: 0.9661 - 860ms/epoch - 6ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9855 - val_loss: 0.1506 - val_categorical_accuracy: 0.9646 - 892ms/epoch - 6ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.1565 - val_categorical_accuracy: 0.9662 - 808ms/epoch - 6ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1722 - val_categorical_accuracy: 0.9614 - 1000ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2038 - val_categorical_accuracy: 0.9565 - 796ms/epoch - 6ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1722 - val_categorical_accuracy: 0.9629 - 824ms/epoch - 6ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1651 - val_categorical_accuracy: 0.9662 - 852ms/epoch - 6ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9855 - val_loss: 0.1530 - val_categorical_accuracy: 0.9655 - 888ms/epoch - 6ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1592 - val_categorical_accuracy: 0.9636 - 1s/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.1749 - val_categorical_accuracy: 0.9633 - 936ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1754 - val_categorical_accuracy: 0.9642 - 1s/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1745 - val_categorical_accuracy: 0.9638 - 924ms/epoch - 7ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.1818 - val_categorical_accuracy: 0.9601 - 952ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1660 - val_categorical_accuracy: 0.9661 - 980ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1617 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9804 - val_loss: 0.1573 - val_categorical_accuracy: 0.9640 - 970ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1686 - val_categorical_accuracy: 0.9627 - 940ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.1621 - val_categorical_accuracy: 0.9669 - 949ms/epoch - 7ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1938 - val_categorical_accuracy: 0.9580 - 958ms/epoch - 7ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1700 - val_categorical_accuracy: 0.9644 - 964ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.1588 - val_categorical_accuracy: 0.9662 - 956ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.1591 - val_categorical_accuracy: 0.9658 - 760ms/epoch - 5ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.1711 - val_categorical_accuracy: 0.9648 - 784ms/epoch - 6ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1744 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9790 - val_loss: 0.1500 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.1574 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1624 - val_categorical_accuracy: 0.9636 - 765ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1506 - val_categorical_accuracy: 0.9685 - 750ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.1855 - val_categorical_accuracy: 0.9585 - 894ms/epoch - 6ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.1568 - val_categorical_accuracy: 0.9666 - 974ms/epoch - 7ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1734 - val_categorical_accuracy: 0.9613 - 950ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1633 - val_categorical_accuracy: 0.9648 - 984ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.1762 - val_categorical_accuracy: 0.9639 - 920ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1625 - val_categorical_accuracy: 0.9674 - 984ms/epoch - 7ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.1635 - val_categorical_accuracy: 0.9669 - 936ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.1616 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.1707 - val_categorical_accuracy: 0.9650 - 960ms/epoch - 7ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1760 - val_categorical_accuracy: 0.9633 - 950ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1762 - val_categorical_accuracy: 0.9625 - 970ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1762 - val_categorical_accuracy: 0.9640 - 930ms/epoch - 7ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.1683 - val_categorical_accuracy: 0.9670 - 960ms/epoch - 7ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.1713 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1852 - val_categorical_accuracy: 0.9613 - 830ms/epoch - 6ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9875 - val_loss: 0.1699 - val_categorical_accuracy: 0.9648 - 830ms/epoch - 6ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1668 - val_categorical_accuracy: 0.9631 - 810ms/epoch - 6ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1650 - val_categorical_accuracy: 0.9659 - 910ms/epoch - 6ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1707 - val_categorical_accuracy: 0.9640 - 965ms/epoch - 7ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1704 - val_categorical_accuracy: 0.9674 - 950ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1735 - val_categorical_accuracy: 0.9639 - 944ms/epoch - 7ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1666 - val_categorical_accuracy: 0.9663 - 950ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1774 - val_categorical_accuracy: 0.9637 - 950ms/epoch - 7ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1703 - val_categorical_accuracy: 0.9667 - 959ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1680 - val_categorical_accuracy: 0.9653 - 935ms/epoch - 7ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.1791 - val_categorical_accuracy: 0.9615 - 1s/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.1523 - categorical_accuracy: 0.9575 - val_loss: 0.1573 - val_categorical_accuracy: 0.9601 - 900ms/epoch - 6ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.1645 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1670 - val_categorical_accuracy: 0.9630 - 960ms/epoch - 7ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.1637 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1751 - val_categorical_accuracy: 0.9620 - 924ms/epoch - 7ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1652 - val_categorical_accuracy: 0.9660 - 976ms/epoch - 7ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.1711 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.1690 - val_categorical_accuracy: 0.9658 - 980ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1579 - val_categorical_accuracy: 0.9678 - 920ms/epoch - 7ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1691 - val_categorical_accuracy: 0.9652 - 824ms/epoch - 6ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1668 - val_categorical_accuracy: 0.9653 - 740ms/epoch - 5ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1617 - val_categorical_accuracy: 0.9661 - 800ms/epoch - 6ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1684 - val_categorical_accuracy: 0.9655 - 950ms/epoch - 7ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1834 - val_categorical_accuracy: 0.9635 - 970ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1679 - val_categorical_accuracy: 0.9654 - 980ms/epoch - 7ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1694 - val_categorical_accuracy: 0.9671 - 924ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1631 - val_categorical_accuracy: 0.9656 - 986ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.1668 - val_categorical_accuracy: 0.9665 - 910ms/epoch - 6ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2100 - val_categorical_accuracy: 0.9561 - 930ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.1663 - val_categorical_accuracy: 0.9670 - 910ms/epoch - 6ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.1664 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1734 - val_categorical_accuracy: 0.9642 - 920ms/epoch - 7ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.1722 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.1858 - val_categorical_accuracy: 0.9630 - 950ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.1658 - val_categorical_accuracy: 0.9653 - 964ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9833 - val_loss: 0.1638 - val_categorical_accuracy: 0.9637 - 946ms/epoch - 7ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1836 - val_categorical_accuracy: 0.9641 - 968ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1710 - val_categorical_accuracy: 0.9640 - 984ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.1909 - val_categorical_accuracy: 0.9606 - 904ms/epoch - 6ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1684 - val_categorical_accuracy: 0.9659 - 736ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.1754 - val_categorical_accuracy: 0.9667 - 780ms/epoch - 6ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1714 - val_categorical_accuracy: 0.9651 - 909ms/epoch - 6ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.1819 - val_categorical_accuracy: 0.9599 - 936ms/epoch - 7ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.1810 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.1837 - val_categorical_accuracy: 0.9652 - 924ms/epoch - 7ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1873 - val_categorical_accuracy: 0.9617 - 920ms/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1671 - val_categorical_accuracy: 0.9636 - 916ms/epoch - 6ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9775 - val_loss: 0.1521 - val_categorical_accuracy: 0.9653 - 948ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.1597 - val_categorical_accuracy: 0.9653 - 928ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1679 - val_categorical_accuracy: 0.9654 - 928ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.1619 - val_categorical_accuracy: 0.9658 - 936ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.1792 - val_categorical_accuracy: 0.9638 - 916ms/epoch - 6ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2063 - val_categorical_accuracy: 0.9543 - 921ms/epoch - 7ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9755 - val_loss: 0.1676 - val_categorical_accuracy: 0.9624 - 923ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.1584 - val_categorical_accuracy: 0.9675 - 1s/epoch - 7ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.1708 - val_categorical_accuracy: 0.9635 - 832ms/epoch - 6ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1609 - val_categorical_accuracy: 0.9679 - 825ms/epoch - 6ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.1634 - val_categorical_accuracy: 0.9677 - 944ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.1985 - val_categorical_accuracy: 0.9600 - 868ms/epoch - 6ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1647 - val_categorical_accuracy: 0.9665 - 876ms/epoch - 6ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9880 - val_loss: 0.1776 - val_categorical_accuracy: 0.9637 - 964ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.1736 - val_categorical_accuracy: 0.9660 - 836ms/epoch - 6ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.1668 - val_categorical_accuracy: 0.9659 - 908ms/epoch - 6ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1707 - val_categorical_accuracy: 0.9652 - 832ms/epoch - 6ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.1857 - val_categorical_accuracy: 0.9629 - 856ms/epoch - 6ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.1767 - val_categorical_accuracy: 0.9650 - 904ms/epoch - 6ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2511 - val_categorical_accuracy: 0.9480 - 960ms/epoch - 7ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.1682 - val_categorical_accuracy: 0.9666 - 900ms/epoch - 6ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.1689 - val_categorical_accuracy: 0.9657 - 844ms/epoch - 6ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.1786 - val_categorical_accuracy: 0.9639 - 844ms/epoch - 6ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1645 - val_categorical_accuracy: 0.9667 - 908ms/epoch - 6ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.1635 - val_categorical_accuracy: 0.9661 - 788ms/epoch - 6ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1737 - val_categorical_accuracy: 0.9651 - 783ms/epoch - 6ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1877 - val_categorical_accuracy: 0.9647 - 840ms/epoch - 6ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.1728 - val_categorical_accuracy: 0.9639 - 931ms/epoch - 7ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.1698 - val_categorical_accuracy: 0.9648 - 939ms/epoch - 7ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1705 - val_categorical_accuracy: 0.9669 - 974ms/epoch - 7ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1806 - val_categorical_accuracy: 0.9649 - 884ms/epoch - 6ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9805 - val_loss: 0.1653 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1557 - val_categorical_accuracy: 0.9638 - 844ms/epoch - 6ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.1626 - val_categorical_accuracy: 0.9675 - 850ms/epoch - 6ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1603 - val_categorical_accuracy: 0.9676 - 904ms/epoch - 6ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.1715 - val_categorical_accuracy: 0.9660 - 844ms/epoch - 6ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1702 - val_categorical_accuracy: 0.9666 - 925ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.1709 - val_categorical_accuracy: 0.9678 - 920ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.1663 - val_categorical_accuracy: 0.9666 - 874ms/epoch - 6ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.1703 - val_categorical_accuracy: 0.9653 - 900ms/epoch - 6ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.1856 - val_categorical_accuracy: 0.9643 - 830ms/epoch - 6ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.1741 - val_categorical_accuracy: 0.9646 - 820ms/epoch - 6ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.1650 - val_categorical_accuracy: 0.9665 - 910ms/epoch - 6ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2064 - val_categorical_accuracy: 0.9600 - 934ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1805 - val_categorical_accuracy: 0.9642 - 850ms/epoch - 6ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1707 - val_categorical_accuracy: 0.9655 - 914ms/epoch - 6ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.2042 - val_categorical_accuracy: 0.9606 - 850ms/epoch - 6ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1850 - val_categorical_accuracy: 0.9642 - 864ms/epoch - 6ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9810 - val_loss: 0.1696 - val_categorical_accuracy: 0.9647 - 860ms/epoch - 6ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1706 - val_categorical_accuracy: 0.9665 - 900ms/epoch - 6ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1742 - val_categorical_accuracy: 0.9624 - 924ms/epoch - 7ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9870 - val_loss: 0.1633 - val_categorical_accuracy: 0.9672 - 795ms/epoch - 6ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.1715 - val_categorical_accuracy: 0.9654 - 754ms/epoch - 5ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.1714 - val_categorical_accuracy: 0.9668 - 800ms/epoch - 6ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2003 - val_categorical_accuracy: 0.9597 - 935ms/epoch - 7ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.1575 - categorical_accuracy: 0.9543 - val_loss: 0.1538 - val_categorical_accuracy: 0.9640 - 1s/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.1536 - val_categorical_accuracy: 0.9674 - 870ms/epoch - 6ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1530 - val_categorical_accuracy: 0.9670 - 950ms/epoch - 7ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.1608 - val_categorical_accuracy: 0.9674 - 870ms/epoch - 6ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.1771 - val_categorical_accuracy: 0.9632 - 880ms/epoch - 6ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.1765 - val_categorical_accuracy: 0.9650 - 930ms/epoch - 7ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9885 - val_loss: 0.1675 - val_categorical_accuracy: 0.9663 - 824ms/epoch - 6ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.1845 - val_categorical_accuracy: 0.9623 - 860ms/epoch - 6ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.1701 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.1645 - val_categorical_accuracy: 0.9682 - 850ms/epoch - 6ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1702 - val_categorical_accuracy: 0.9670 - 870ms/epoch - 6ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1797 - val_categorical_accuracy: 0.9646 - 900ms/epoch - 6ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1756 - val_categorical_accuracy: 0.9645 - 960ms/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2141 - val_categorical_accuracy: 0.9573 - 824ms/epoch - 6ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.3758 - categorical_accuracy: 0.8898 - val_loss: 0.2935 - val_categorical_accuracy: 0.9036 - 870ms/epoch - 6ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9660 - val_loss: 0.1578 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9846 - val_loss: 0.1470 - val_categorical_accuracy: 0.9634 - 950ms/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.1595 - val_categorical_accuracy: 0.9631 - 854ms/epoch - 6ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1580 - val_categorical_accuracy: 0.9649 - 880ms/epoch - 6ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.1725 - val_categorical_accuracy: 0.9616 - 930ms/epoch - 7ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.1609 - val_categorical_accuracy: 0.9656 - 814ms/epoch - 6ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.1613 - val_categorical_accuracy: 0.9650 - 864ms/epoch - 6ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.1687 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.1643 - val_categorical_accuracy: 0.9650 - 820ms/epoch - 6ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.1701 - val_categorical_accuracy: 0.9657 - 845ms/epoch - 6ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.1631 - val_categorical_accuracy: 0.9660 - 890ms/epoch - 6ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.1754 - val_categorical_accuracy: 0.9624 - 954ms/epoch - 7ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1668 - val_categorical_accuracy: 0.9670 - 896ms/epoch - 6ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9872 - val_loss: 0.1788 - val_categorical_accuracy: 0.9625 - 920ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1641 - val_categorical_accuracy: 0.9661 - 774ms/epoch - 5ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1926 - val_categorical_accuracy: 0.9590 - 830ms/epoch - 6ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.1936 - val_categorical_accuracy: 0.9619 - 950ms/epoch - 7ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1704 - val_categorical_accuracy: 0.9664 - 960ms/epoch - 7ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1691 - val_categorical_accuracy: 0.9658 - 884ms/epoch - 6ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.1674 - val_categorical_accuracy: 0.9673 - 830ms/epoch - 6ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1848 - val_categorical_accuracy: 0.9645 - 914ms/epoch - 6ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1778 - val_categorical_accuracy: 0.9660 - 926ms/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.1793 - val_categorical_accuracy: 0.9652 - 820ms/epoch - 6ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.1871 - val_categorical_accuracy: 0.9622 - 814ms/epoch - 6ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9851 - val_loss: 0.1708 - val_categorical_accuracy: 0.9664 - 970ms/epoch - 7ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1739 - val_categorical_accuracy: 0.9648 - 910ms/epoch - 6ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.1764 - val_categorical_accuracy: 0.9655 - 860ms/epoch - 6ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.1709 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.1826 - val_categorical_accuracy: 0.9640 - 810ms/epoch - 6ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.1731 - val_categorical_accuracy: 0.9663 - 830ms/epoch - 6ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9885 - val_loss: 0.1710 - val_categorical_accuracy: 0.9668 - 970ms/epoch - 7ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1745 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.1755 - val_categorical_accuracy: 0.9647 - 810ms/epoch - 6ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9825 - val_loss: 0.1587 - val_categorical_accuracy: 0.9654 - 840ms/epoch - 6ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9892 - val_loss: 0.1721 - val_categorical_accuracy: 0.9657 - 1s/epoch - 7ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1777 - val_categorical_accuracy: 0.9648 - 960ms/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1602 - val_categorical_accuracy: 0.9679 - 900ms/epoch - 6ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.1754 - val_categorical_accuracy: 0.9643 - 820ms/epoch - 6ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1880 - val_categorical_accuracy: 0.9597 - 920ms/epoch - 7ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9880 - val_loss: 0.1691 - val_categorical_accuracy: 0.9679 - 860ms/epoch - 6ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1796 - val_categorical_accuracy: 0.9640 - 800ms/epoch - 6ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.1734 - val_categorical_accuracy: 0.9638 - 980ms/epoch - 7ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1854 - val_categorical_accuracy: 0.9628 - 940ms/epoch - 7ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.1692 - val_categorical_accuracy: 0.9666 - 840ms/epoch - 6ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1964 - val_categorical_accuracy: 0.9594 - 850ms/epoch - 6ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1807 - val_categorical_accuracy: 0.9662 - 970ms/epoch - 7ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.1674 - val_categorical_accuracy: 0.9677 - 970ms/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9891 - val_loss: 0.1827 - val_categorical_accuracy: 0.9638 - 870ms/epoch - 6ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1736 - val_categorical_accuracy: 0.9662 - 810ms/epoch - 6ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1698 - val_categorical_accuracy: 0.9676 - 880ms/epoch - 6ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2342 - val_categorical_accuracy: 0.9524 - 880ms/epoch - 6ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1952 - val_categorical_accuracy: 0.9589 - 860ms/epoch - 6ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.1901 - val_categorical_accuracy: 0.9638 - 890ms/epoch - 6ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.1733 - val_categorical_accuracy: 0.9654 - 813ms/epoch - 6ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.1814 - val_categorical_accuracy: 0.9651 - 876ms/epoch - 6ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.1840 - val_categorical_accuracy: 0.9664 - 944ms/epoch - 7ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1932 - val_categorical_accuracy: 0.9613 - 796ms/epoch - 6ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.1796 - val_categorical_accuracy: 0.9638 - 836ms/epoch - 6ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.1759 - val_categorical_accuracy: 0.9650 - 986ms/epoch - 7ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.1824 - val_categorical_accuracy: 0.9637 - 756ms/epoch - 5ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.1740 - val_categorical_accuracy: 0.9660 - 764ms/epoch - 5ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.1818 - val_categorical_accuracy: 0.9648 - 953ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1735 - val_categorical_accuracy: 0.9660 - 944ms/epoch - 7ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1828 - val_categorical_accuracy: 0.9656 - 952ms/epoch - 7ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.1821 - val_categorical_accuracy: 0.9655 - 968ms/epoch - 7ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.1758 - val_categorical_accuracy: 0.9667 - 944ms/epoch - 7ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9889 - val_loss: 0.1740 - val_categorical_accuracy: 0.9640 - 955ms/epoch - 7ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1907 - val_categorical_accuracy: 0.9624 - 1s/epoch - 8ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2138 - val_categorical_accuracy: 0.9580 - 944ms/epoch - 7ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1742 - val_categorical_accuracy: 0.9655 - 956ms/epoch - 7ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9894 - val_loss: 0.1774 - val_categorical_accuracy: 0.9671 - 988ms/epoch - 7ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1801 - val_categorical_accuracy: 0.9656 - 923ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.1814 - val_categorical_accuracy: 0.9641 - 920ms/epoch - 7ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1781 - val_categorical_accuracy: 0.9663 - 928ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.1393 - categorical_accuracy: 0.9592 - val_loss: 0.1519 - val_categorical_accuracy: 0.9581 - 952ms/epoch - 7ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9861 - val_loss: 0.1589 - val_categorical_accuracy: 0.9652 - 936ms/epoch - 7ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.1542 - val_categorical_accuracy: 0.9673 - 948ms/epoch - 7ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.1819 - val_categorical_accuracy: 0.9624 - 956ms/epoch - 7ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1761 - val_categorical_accuracy: 0.9643 - 936ms/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1686 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.1722 - val_categorical_accuracy: 0.9639 - 944ms/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.1159 - categorical_accuracy: 0.9684 - val_loss: 0.1612 - val_categorical_accuracy: 0.9588 - 952ms/epoch - 7ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9878 - val_loss: 0.1622 - val_categorical_accuracy: 0.9672 - 984ms/epoch - 7ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.1679 - val_categorical_accuracy: 0.9641 - 784ms/epoch - 6ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.1773 - val_categorical_accuracy: 0.9619 - 852ms/epoch - 6ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.1740 - val_categorical_accuracy: 0.9664 - 969ms/epoch - 7ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.1876 - val_categorical_accuracy: 0.9638 - 912ms/epoch - 6ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9893 - val_loss: 0.1770 - val_categorical_accuracy: 0.9669 - 760ms/epoch - 5ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.1737 - val_categorical_accuracy: 0.9653 - 752ms/epoch - 5ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.1685 - val_categorical_accuracy: 0.9662 - 912ms/epoch - 6ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1697 - val_categorical_accuracy: 0.9680 - 948ms/epoch - 7ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.1764 - val_categorical_accuracy: 0.9657 - 993ms/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1807 - val_categorical_accuracy: 0.9641 - 940ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.1686 - val_categorical_accuracy: 0.9662 - 932ms/epoch - 7ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.1920 - val_categorical_accuracy: 0.9644 - 944ms/epoch - 7ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.1751 - val_categorical_accuracy: 0.9662 - 924ms/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.1766 - val_categorical_accuracy: 0.9666 - 936ms/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1776 - val_categorical_accuracy: 0.9659 - 848ms/epoch - 6ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2026 - val_categorical_accuracy: 0.9601 - 820ms/epoch - 6ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.1832 - val_categorical_accuracy: 0.9661 - 804ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.1759 - val_categorical_accuracy: 0.9653 - 868ms/epoch - 6ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.1739 - val_categorical_accuracy: 0.9649 - 936ms/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9835 - val_loss: 0.1572 - val_categorical_accuracy: 0.9657 - 948ms/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1644 - val_categorical_accuracy: 0.9663 - 972ms/epoch - 7ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.1753 - val_categorical_accuracy: 0.9643 - 960ms/epoch - 7ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.1720 - val_categorical_accuracy: 0.9669 - 756ms/epoch - 5ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1948 - val_categorical_accuracy: 0.9630 - 736ms/epoch - 5ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1728 - val_categorical_accuracy: 0.9666 - 900ms/epoch - 6ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9896 - val_loss: 0.1721 - val_categorical_accuracy: 0.9665 - 952ms/epoch - 7ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9825 - val_loss: 0.1645 - val_categorical_accuracy: 0.9660 - 944ms/epoch - 7ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.1696 - val_categorical_accuracy: 0.9667 - 932ms/epoch - 7ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.1927 - val_categorical_accuracy: 0.9632 - 921ms/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.1753 - val_categorical_accuracy: 0.9665 - 944ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.4746 - val_categorical_accuracy: 0.9096 - 925ms/epoch - 7ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9856 - val_loss: 0.1655 - val_categorical_accuracy: 0.9675 - 932ms/epoch - 7ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.1688 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.1808 - val_categorical_accuracy: 0.9660 - 932ms/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.1700 - val_categorical_accuracy: 0.9678 - 916ms/epoch - 6ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.1827 - val_categorical_accuracy: 0.9635 - 924ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.1834 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0709 - categorical_accuracy: 0.9798 - val_loss: 0.1585 - val_categorical_accuracy: 0.9663 - 928ms/epoch - 7ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1735 - val_categorical_accuracy: 0.9658 - 932ms/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9899 - val_loss: 0.1817 - val_categorical_accuracy: 0.9641 - 950ms/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1717 - val_categorical_accuracy: 0.9644 - 936ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9901 - val_loss: 0.1918 - val_categorical_accuracy: 0.9631 - 932ms/epoch - 7ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.1736 - val_categorical_accuracy: 0.9680 - 772ms/epoch - 5ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9900 - val_loss: 0.2069 - val_categorical_accuracy: 0.9570 - 816ms/epoch - 6ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.1817 - val_categorical_accuracy: 0.9660 - 796ms/epoch - 6ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.1812 - val_categorical_accuracy: 0.9664 - 912ms/epoch - 6ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.1873 - val_categorical_accuracy: 0.9664 - 957ms/epoch - 7ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.1802 - val_categorical_accuracy: 0.9666 - 932ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.1824 - val_categorical_accuracy: 0.9644 - 928ms/epoch - 7ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.1959 - val_categorical_accuracy: 0.9590 - 924ms/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1756 - val_categorical_accuracy: 0.9653 - 932ms/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.1777 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1945 - val_categorical_accuracy: 0.9648 - 928ms/epoch - 7ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.1750 - val_categorical_accuracy: 0.9674 - 952ms/epoch - 7ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2098 - val_categorical_accuracy: 0.9602 - 924ms/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.1820 - val_categorical_accuracy: 0.9640 - 935ms/epoch - 7ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.1781 - val_categorical_accuracy: 0.9660 - 944ms/epoch - 7ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.1818 - val_categorical_accuracy: 0.9656 - 928ms/epoch - 7ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.1779 - val_categorical_accuracy: 0.9667 - 932ms/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1925 - val_categorical_accuracy: 0.9657 - 932ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.1847 - val_categorical_accuracy: 0.9644 - 948ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.1864 - val_categorical_accuracy: 0.9673 - 936ms/epoch - 7ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.1906 - val_categorical_accuracy: 0.9657 - 916ms/epoch - 6ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.1764 - val_categorical_accuracy: 0.9648 - 936ms/epoch - 7ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.1836 - val_categorical_accuracy: 0.9663 - 928ms/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.1917 - val_categorical_accuracy: 0.9654 - 925ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1967 - val_categorical_accuracy: 0.9630 - 952ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.1865 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.1891 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.1820 - val_categorical_accuracy: 0.9647 - 920ms/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9893 - val_loss: 0.1763 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.1809 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2176 - val_categorical_accuracy: 0.9583 - 919ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9795 - val_loss: 0.1650 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1708 - val_categorical_accuracy: 0.9676 - 910ms/epoch - 6ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1722 - val_categorical_accuracy: 0.9679 - 940ms/epoch - 7ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.1853 - val_categorical_accuracy: 0.9629 - 930ms/epoch - 7ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.1755 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.1922 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.1780 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2535 - val_categorical_accuracy: 0.9459 - 960ms/epoch - 7ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.1802 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9901 - val_loss: 0.1830 - val_categorical_accuracy: 0.9665 - 1s/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.1761 - val_categorical_accuracy: 0.9675 - 820ms/epoch - 6ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.1865 - val_categorical_accuracy: 0.9648 - 740ms/epoch - 5ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9896 - val_loss: 0.2037 - val_categorical_accuracy: 0.9628 - 894ms/epoch - 6ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.1957 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9870 - val_loss: 0.1806 - val_categorical_accuracy: 0.9667 - 944ms/epoch - 7ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9870 - val_loss: 0.1674 - val_categorical_accuracy: 0.9671 - 930ms/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.1702 - val_categorical_accuracy: 0.9658 - 924ms/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1800 - val_categorical_accuracy: 0.9669 - 950ms/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.1803 - val_categorical_accuracy: 0.9642 - 934ms/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1784 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1866 - val_categorical_accuracy: 0.9665 - 924ms/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2025 - val_categorical_accuracy: 0.9618 - 916ms/epoch - 6ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.1906 - val_categorical_accuracy: 0.9655 - 980ms/epoch - 7ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1790 - val_categorical_accuracy: 0.9678 - 974ms/epoch - 7ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.1794 - val_categorical_accuracy: 0.9656 - 960ms/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9899 - val_loss: 0.1958 - val_categorical_accuracy: 0.9613 - 940ms/epoch - 7ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1856 - val_categorical_accuracy: 0.9676 - 910ms/epoch - 6ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1910 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.1815 - val_categorical_accuracy: 0.9655 - 918ms/epoch - 7ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9770 - val_loss: 0.1474 - val_categorical_accuracy: 0.9654 - 777ms/epoch - 6ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.1702 - val_categorical_accuracy: 0.9668 - 764ms/epoch - 5ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9901 - val_loss: 0.1724 - val_categorical_accuracy: 0.9663 - 828ms/epoch - 6ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1684 - val_categorical_accuracy: 0.9673 - 912ms/epoch - 6ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.1728 - val_categorical_accuracy: 0.9650 - 936ms/epoch - 7ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.1772 - val_categorical_accuracy: 0.9672 - 952ms/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9905 - val_loss: 0.1785 - val_categorical_accuracy: 0.9674 - 968ms/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9888 - val_loss: 0.1885 - val_categorical_accuracy: 0.9644 - 752ms/epoch - 5ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1853 - val_categorical_accuracy: 0.9663 - 824ms/epoch - 6ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1771 - val_categorical_accuracy: 0.9675 - 780ms/epoch - 6ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.1882 - val_categorical_accuracy: 0.9656 - 916ms/epoch - 6ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1836 - val_categorical_accuracy: 0.9635 - 980ms/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.1805 - val_categorical_accuracy: 0.9668 - 1s/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1772 - val_categorical_accuracy: 0.9682 - 965ms/epoch - 7ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1818 - val_categorical_accuracy: 0.9678 - 928ms/epoch - 7ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.1958 - val_categorical_accuracy: 0.9620 - 868ms/epoch - 6ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1892 - val_categorical_accuracy: 0.9637 - 826ms/epoch - 6ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2039 - val_categorical_accuracy: 0.9622 - 885ms/epoch - 6ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9813 - val_loss: 0.1820 - val_categorical_accuracy: 0.9635 - 913ms/epoch - 6ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9898 - val_loss: 0.1883 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.1786 - val_categorical_accuracy: 0.9673 - 745ms/epoch - 5ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.1831 - val_categorical_accuracy: 0.9650 - 880ms/epoch - 6ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9901 - val_loss: 0.1832 - val_categorical_accuracy: 0.9674 - 808ms/epoch - 6ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.1773 - val_categorical_accuracy: 0.9656 - 852ms/epoch - 6ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1813 - val_categorical_accuracy: 0.9672 - 740ms/epoch - 5ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1804 - val_categorical_accuracy: 0.9671 - 789ms/epoch - 6ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.1957 - val_categorical_accuracy: 0.9651 - 780ms/epoch - 6ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1982 - val_categorical_accuracy: 0.9647 - 904ms/epoch - 6ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.1850 - val_categorical_accuracy: 0.9667 - 1s/epoch - 8ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.1781 - val_categorical_accuracy: 0.9668 - 751ms/epoch - 5ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1825 - val_categorical_accuracy: 0.9658 - 838ms/epoch - 6ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.1936 - val_categorical_accuracy: 0.9656 - 880ms/epoch - 6ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1879 - val_categorical_accuracy: 0.9668 - 947ms/epoch - 7ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1911 - val_categorical_accuracy: 0.9635 - 883ms/epoch - 6ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.1886 - val_categorical_accuracy: 0.9662 - 780ms/epoch - 6ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9841 - val_loss: 0.1790 - val_categorical_accuracy: 0.9640 - 760ms/epoch - 5ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.1815 - val_categorical_accuracy: 0.9671 - 832ms/epoch - 6ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.1729 - val_categorical_accuracy: 0.9673 - 808ms/epoch - 6ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1848 - val_categorical_accuracy: 0.9670 - 1s/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.1739 - val_categorical_accuracy: 0.9667 - 792ms/epoch - 6ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1889 - val_categorical_accuracy: 0.9653 - 939ms/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1735 - val_categorical_accuracy: 0.9681 - 780ms/epoch - 6ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1821 - val_categorical_accuracy: 0.9668 - 908ms/epoch - 6ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1829 - val_categorical_accuracy: 0.9673 - 958ms/epoch - 7ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.1838 - val_categorical_accuracy: 0.9668 - 748ms/epoch - 5ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.1887 - val_categorical_accuracy: 0.9660 - 760ms/epoch - 5ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.1822 - val_categorical_accuracy: 0.9668 - 908ms/epoch - 6ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.1855 - val_categorical_accuracy: 0.9665 - 964ms/epoch - 7ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.1879 - val_categorical_accuracy: 0.9651 - 1s/epoch - 7ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.1914 - val_categorical_accuracy: 0.9661 - 936ms/epoch - 7ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.1791 - val_categorical_accuracy: 0.9676 - 1s/epoch - 8ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9831 - val_loss: 0.1632 - val_categorical_accuracy: 0.9629 - 764ms/epoch - 5ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.1706 - val_categorical_accuracy: 0.9673 - 784ms/epoch - 6ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1823 - val_categorical_accuracy: 0.9639 - 776ms/epoch - 6ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2096 - val_categorical_accuracy: 0.9579 - 935ms/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9842 - val_loss: 0.1715 - val_categorical_accuracy: 0.9653 - 1s/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9906 - val_loss: 0.1767 - val_categorical_accuracy: 0.9665 - 787ms/epoch - 6ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9905 - val_loss: 0.1757 - val_categorical_accuracy: 0.9665 - 875ms/epoch - 6ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.1802 - val_categorical_accuracy: 0.9671 - 760ms/epoch - 5ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.1848 - val_categorical_accuracy: 0.9656 - 864ms/epoch - 6ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.1803 - val_categorical_accuracy: 0.9669 - 740ms/epoch - 5ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2012 - val_categorical_accuracy: 0.9630 - 784ms/epoch - 6ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9906 - val_loss: 0.1798 - val_categorical_accuracy: 0.9671 - 852ms/epoch - 6ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.1813 - val_categorical_accuracy: 0.9672 - 976ms/epoch - 7ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2144 - val_categorical_accuracy: 0.9620 - 948ms/epoch - 7ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1930 - val_categorical_accuracy: 0.9671 - 780ms/epoch - 6ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.1861 - val_categorical_accuracy: 0.9665 - 770ms/epoch - 5ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9906 - val_loss: 0.1862 - val_categorical_accuracy: 0.9669 - 955ms/epoch - 7ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1958 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1831 - val_categorical_accuracy: 0.9676 - 1s/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1910 - val_categorical_accuracy: 0.9660 - 796ms/epoch - 6ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1914 - val_categorical_accuracy: 0.9641 - 788ms/epoch - 6ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.1902 - val_categorical_accuracy: 0.9644 - 948ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1856 - val_categorical_accuracy: 0.9654 - 948ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1843 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2211 - val_categorical_accuracy: 0.9583 - 928ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1952 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9899 - val_loss: 0.1918 - val_categorical_accuracy: 0.9669 - 952ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.1914 - val_categorical_accuracy: 0.9668 - 948ms/epoch - 7ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2241 - val_categorical_accuracy: 0.9571 - 948ms/epoch - 7ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.1941 - val_categorical_accuracy: 0.9650 - 969ms/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.1928 - val_categorical_accuracy: 0.9661 - 904ms/epoch - 6ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.1892 - val_categorical_accuracy: 0.9668 - 784ms/epoch - 6ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1889 - val_categorical_accuracy: 0.9656 - 808ms/epoch - 6ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2163 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.2222 - val_categorical_accuracy: 0.9594 - 968ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.1890 - val_categorical_accuracy: 0.9660 - 952ms/epoch - 7ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2044 - val_categorical_accuracy: 0.9619 - 976ms/epoch - 7ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.1871 - val_categorical_accuracy: 0.9675 - 916ms/epoch - 6ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.1858 - val_categorical_accuracy: 0.9675 - 800ms/epoch - 6ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2070 - val_categorical_accuracy: 0.9634 - 800ms/epoch - 6ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.1935 - val_categorical_accuracy: 0.9649 - 984ms/epoch - 7ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2124 - val_categorical_accuracy: 0.9621 - 964ms/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.1890 - val_categorical_accuracy: 0.9672 - 956ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.1921 - val_categorical_accuracy: 0.9666 - 976ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9828 - val_loss: 0.1712 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.1869 - val_categorical_accuracy: 0.9655 - 956ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.1850 - val_categorical_accuracy: 0.9668 - 952ms/epoch - 7ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1844 - val_categorical_accuracy: 0.9682 - 964ms/epoch - 7ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.1832 - val_categorical_accuracy: 0.9670 - 1s/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.1858 - val_categorical_accuracy: 0.9669 - 825ms/epoch - 6ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.1973 - val_categorical_accuracy: 0.9638 - 884ms/epoch - 6ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.1843 - val_categorical_accuracy: 0.9662 - 760ms/epoch - 5ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9899 - val_loss: 0.1930 - val_categorical_accuracy: 0.9642 - 800ms/epoch - 6ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1844 - val_categorical_accuracy: 0.9639 - 960ms/epoch - 7ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.1895 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.1880 - val_categorical_accuracy: 0.9660 - 944ms/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9801 - val_loss: 0.1626 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.1697 - val_categorical_accuracy: 0.9675 - 954ms/epoch - 7ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.1788 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.1913 - val_categorical_accuracy: 0.9652 - 954ms/epoch - 7ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9902 - val_loss: 0.1841 - val_categorical_accuracy: 0.9656 - 950ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9903 - val_loss: 0.1947 - val_categorical_accuracy: 0.9648 - 924ms/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.1918 - val_categorical_accuracy: 0.9650 - 786ms/epoch - 6ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1811 - val_categorical_accuracy: 0.9660 - 790ms/epoch - 6ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.1878 - val_categorical_accuracy: 0.9677 - 1s/epoch - 7ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1935 - val_categorical_accuracy: 0.9656 - 960ms/epoch - 7ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.1891 - val_categorical_accuracy: 0.9674 - 950ms/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.1822 - val_categorical_accuracy: 0.9666 - 930ms/epoch - 7ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.1913 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9833 - val_loss: 0.1873 - val_categorical_accuracy: 0.9614 - 920ms/epoch - 7ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.1762 - val_categorical_accuracy: 0.9668 - 944ms/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1810 - val_categorical_accuracy: 0.9672 - 960ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.1831 - val_categorical_accuracy: 0.9676 - 950ms/epoch - 7ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1836 - val_categorical_accuracy: 0.9668 - 940ms/epoch - 7ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9898 - val_loss: 0.1854 - val_categorical_accuracy: 0.9673 - 934ms/epoch - 7ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.1944 - val_categorical_accuracy: 0.9656 - 930ms/epoch - 7ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.1989 - val_categorical_accuracy: 0.9657 - 960ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9879 - val_loss: 0.1864 - val_categorical_accuracy: 0.9642 - 950ms/epoch - 7ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.1798 - val_categorical_accuracy: 0.9670 - 900ms/epoch - 6ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1862 - val_categorical_accuracy: 0.9662 - 800ms/epoch - 6ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.1783 - val_categorical_accuracy: 0.9687 - 810ms/epoch - 6ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.1979 - val_categorical_accuracy: 0.9650 - 963ms/epoch - 7ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9907 - val_loss: 0.1783 - val_categorical_accuracy: 0.9676 - 950ms/epoch - 7ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1919 - val_categorical_accuracy: 0.9647 - 927ms/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.1859 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2032 - val_categorical_accuracy: 0.9637 - 796ms/epoch - 6ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.1857 - val_categorical_accuracy: 0.9660 - 801ms/epoch - 6ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.1913 - val_categorical_accuracy: 0.9648 - 984ms/epoch - 7ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1827 - val_categorical_accuracy: 0.9667 - 956ms/epoch - 7ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1938 - val_categorical_accuracy: 0.9663 - 960ms/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1935 - val_categorical_accuracy: 0.9650 - 944ms/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9765 - val_loss: 0.1722 - val_categorical_accuracy: 0.9655 - 952ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.1724 - val_categorical_accuracy: 0.9672 - 948ms/epoch - 7ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9903 - val_loss: 0.1769 - val_categorical_accuracy: 0.9680 - 936ms/epoch - 7ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1741 - val_categorical_accuracy: 0.9665 - 965ms/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1938 - val_categorical_accuracy: 0.9653 - 924ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.1757 - val_categorical_accuracy: 0.9680 - 952ms/epoch - 7ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9902 - val_loss: 0.1828 - val_categorical_accuracy: 0.9676 - 968ms/epoch - 7ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1905 - val_categorical_accuracy: 0.9657 - 948ms/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1852 - val_categorical_accuracy: 0.9662 - 933ms/epoch - 7ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1938 - val_categorical_accuracy: 0.9662 - 927ms/epoch - 7ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.1932 - val_categorical_accuracy: 0.9640 - 957ms/epoch - 7ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1876 - val_categorical_accuracy: 0.9657 - 940ms/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1855 - val_categorical_accuracy: 0.9674 - 936ms/epoch - 7ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1914 - val_categorical_accuracy: 0.9652 - 936ms/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9808 - val_loss: 0.1672 - val_categorical_accuracy: 0.9651 - 1s/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.1758 - val_categorical_accuracy: 0.9655 - 835ms/epoch - 6ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9878 - val_loss: 0.1650 - val_categorical_accuracy: 0.9678 - 824ms/epoch - 6ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.1800 - val_categorical_accuracy: 0.9652 - 844ms/epoch - 6ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.1823 - val_categorical_accuracy: 0.9658 - 881ms/epoch - 6ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9905 - val_loss: 0.1866 - val_categorical_accuracy: 0.9668 - 855ms/epoch - 6ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2002 - val_categorical_accuracy: 0.9633 - 764ms/epoch - 5ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.1857 - val_categorical_accuracy: 0.9642 - 788ms/epoch - 6ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1754 - val_categorical_accuracy: 0.9677 - 924ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1879 - val_categorical_accuracy: 0.9658 - 948ms/epoch - 7ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1897 - val_categorical_accuracy: 0.9656 - 964ms/epoch - 7ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.1815 - val_categorical_accuracy: 0.9661 - 937ms/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.1951 - val_categorical_accuracy: 0.9640 - 960ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.1958 - val_categorical_accuracy: 0.9657 - 970ms/epoch - 7ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1894 - val_categorical_accuracy: 0.9663 - 940ms/epoch - 7ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.2086 - val_categorical_accuracy: 0.9627 - 844ms/epoch - 6ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.1925 - val_categorical_accuracy: 0.9670 - 790ms/epoch - 6ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1893 - val_categorical_accuracy: 0.9675 - 840ms/epoch - 6ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1943 - val_categorical_accuracy: 0.9677 - 944ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1988 - val_categorical_accuracy: 0.9652 - 940ms/epoch - 7ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2795 - val_categorical_accuracy: 0.9445 - 940ms/epoch - 7ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9837 - val_loss: 0.1733 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.1862 - val_categorical_accuracy: 0.9653 - 920ms/epoch - 7ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.1763 - val_categorical_accuracy: 0.9666 - 965ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9909 - val_loss: 0.1803 - val_categorical_accuracy: 0.9683 - 1s/epoch - 7ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9905 - val_loss: 0.1844 - val_categorical_accuracy: 0.9664 - 960ms/epoch - 7ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1836 - val_categorical_accuracy: 0.9678 - 940ms/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.2083 - val_categorical_accuracy: 0.9606 - 950ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.1917 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1928 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.1898 - val_categorical_accuracy: 0.9654 - 944ms/epoch - 7ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1868 - val_categorical_accuracy: 0.9678 - 936ms/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.2028 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1857 - val_categorical_accuracy: 0.9649 - 960ms/epoch - 7ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.1823 - val_categorical_accuracy: 0.9684 - 940ms/epoch - 7ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2100 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1908 - val_categorical_accuracy: 0.9653 - 960ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1912 - val_categorical_accuracy: 0.9655 - 934ms/epoch - 7ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.1875 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1949 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9896 - val_loss: 0.1945 - val_categorical_accuracy: 0.9648 - 950ms/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9906 - val_loss: 0.1949 - val_categorical_accuracy: 0.9670 - 924ms/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.1908 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.1993 - val_categorical_accuracy: 0.9646 - 944ms/epoch - 7ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.1913 - val_categorical_accuracy: 0.9651 - 924ms/epoch - 7ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1891 - val_categorical_accuracy: 0.9673 - 938ms/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.1857 - val_categorical_accuracy: 0.9679 - 996ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9848 - val_loss: 0.1752 - val_categorical_accuracy: 0.9646 - 944ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9904 - val_loss: 0.1804 - val_categorical_accuracy: 0.9680 - 944ms/epoch - 7ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1833 - val_categorical_accuracy: 0.9655 - 964ms/epoch - 7ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.1838 - val_categorical_accuracy: 0.9658 - 956ms/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.1912 - val_categorical_accuracy: 0.9651 - 876ms/epoch - 6ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.2003 - val_categorical_accuracy: 0.9624 - 816ms/epoch - 6ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1847 - val_categorical_accuracy: 0.9677 - 824ms/epoch - 6ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1881 - val_categorical_accuracy: 0.9686 - 952ms/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.1849 - val_categorical_accuracy: 0.9680 - 948ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.1869 - val_categorical_accuracy: 0.9667 - 936ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2030 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.1876 - val_categorical_accuracy: 0.9681 - 940ms/epoch - 7ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.1962 - val_categorical_accuracy: 0.9659 - 940ms/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.1883 - val_categorical_accuracy: 0.9680 - 952ms/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.1950 - val_categorical_accuracy: 0.9664 - 940ms/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9837 - val_loss: 0.1767 - val_categorical_accuracy: 0.9660 - 932ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1840 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.1852 - val_categorical_accuracy: 0.9656 - 940ms/epoch - 7ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1854 - val_categorical_accuracy: 0.9671 - 936ms/epoch - 7ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9910 - val_loss: 0.1870 - val_categorical_accuracy: 0.9672 - 924ms/epoch - 7ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9911 - val_loss: 0.2087 - val_categorical_accuracy: 0.9625 - 940ms/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.1881 - val_categorical_accuracy: 0.9676 - 1s/epoch - 8ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.1871 - val_categorical_accuracy: 0.9668 - 956ms/epoch - 7ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.1963 - val_categorical_accuracy: 0.9670 - 956ms/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9910 - val_loss: 0.1906 - val_categorical_accuracy: 0.9657 - 948ms/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9794 - val_loss: 0.1590 - val_categorical_accuracy: 0.9660 - 948ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9908 - val_loss: 0.1773 - val_categorical_accuracy: 0.9650 - 940ms/epoch - 7ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.1818 - val_categorical_accuracy: 0.9672 - 948ms/epoch - 7ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1849 - val_categorical_accuracy: 0.9662 - 934ms/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.1942 - val_categorical_accuracy: 0.9653 - 950ms/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.1888 - val_categorical_accuracy: 0.9668 - 934ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.1859 - val_categorical_accuracy: 0.9668 - 938ms/epoch - 7ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.1869 - val_categorical_accuracy: 0.9675 - 930ms/epoch - 7ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.1924 - val_categorical_accuracy: 0.9670 - 960ms/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1847 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9888 - val_loss: 0.1841 - val_categorical_accuracy: 0.9654 - 943ms/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9904 - val_loss: 0.2121 - val_categorical_accuracy: 0.9615 - 970ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9904 - val_loss: 0.1912 - val_categorical_accuracy: 0.9660 - 940ms/epoch - 7ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.1915 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9909 - val_loss: 0.2493 - val_categorical_accuracy: 0.9552 - 950ms/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9904 - val_loss: 0.1935 - val_categorical_accuracy: 0.9666 - 944ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9906 - val_loss: 0.1930 - val_categorical_accuracy: 0.9671 - 980ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1909 - val_categorical_accuracy: 0.9644 - 940ms/epoch - 7ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9886 - val_loss: 0.1860 - val_categorical_accuracy: 0.9643 - 980ms/epoch - 7ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.1894 - val_categorical_accuracy: 0.9663 - 955ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9908 - val_loss: 0.1861 - val_categorical_accuracy: 0.9674 - 956ms/epoch - 7ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9909 - val_loss: 0.1886 - val_categorical_accuracy: 0.9673 - 970ms/epoch - 7ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1877 - val_categorical_accuracy: 0.9663 - 945ms/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.1921 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9907 - val_loss: 0.1930 - val_categorical_accuracy: 0.9660 - 955ms/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.1892 - val_categorical_accuracy: 0.9671 - 950ms/epoch - 7ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9909 - val_loss: 0.1904 - val_categorical_accuracy: 0.9688 - 944ms/epoch - 7ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.1913 - val_categorical_accuracy: 0.9677 - 966ms/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9908 - val_loss: 0.1879 - val_categorical_accuracy: 0.9683 - 940ms/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.1876 - val_categorical_accuracy: 0.9675 - 950ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9911 - val_loss: 0.2032 - val_categorical_accuracy: 0.9647 - 930ms/epoch - 7ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9910 - val_loss: 0.2101 - val_categorical_accuracy: 0.9635 - 955ms/epoch - 7ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1916 - val_categorical_accuracy: 0.9659 - 950ms/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9909 - val_loss: 0.2081 - val_categorical_accuracy: 0.9637 - 975ms/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9892 - val_loss: 0.1935 - val_categorical_accuracy: 0.9651 - 970ms/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2023 - val_categorical_accuracy: 0.9615 - 944ms/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.1914 - val_categorical_accuracy: 0.9681 - 920ms/epoch - 7ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.1969 - val_categorical_accuracy: 0.9661 - 944ms/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.1892 - val_categorical_accuracy: 0.9676 - 896ms/epoch - 6ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9906 - val_loss: 0.2158 - val_categorical_accuracy: 0.9607 - 800ms/epoch - 6ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1969 - val_categorical_accuracy: 0.9648 - 804ms/epoch - 6ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9908 - val_loss: 0.2070 - val_categorical_accuracy: 0.9646 - 992ms/epoch - 7ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9904 - val_loss: 0.1969 - val_categorical_accuracy: 0.9642 - 976ms/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2047 - val_categorical_accuracy: 0.9654 - 944ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1903 - val_categorical_accuracy: 0.9675 - 968ms/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9904 - val_loss: 0.2005 - val_categorical_accuracy: 0.9651 - 956ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.1970 - val_categorical_accuracy: 0.9663 - 932ms/epoch - 7ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9907 - val_loss: 0.1910 - val_categorical_accuracy: 0.9673 - 921ms/epoch - 7ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.1978 - val_categorical_accuracy: 0.9672 - 948ms/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2037 - val_categorical_accuracy: 0.9659 - 936ms/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9853 - val_loss: 0.1855 - val_categorical_accuracy: 0.9626 - 929ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9904 - val_loss: 0.1895 - val_categorical_accuracy: 0.9667 - 944ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.1919 - val_categorical_accuracy: 0.9662 - 920ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.1947 - val_categorical_accuracy: 0.9657 - 924ms/epoch - 7ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2011 - val_categorical_accuracy: 0.9655 - 944ms/epoch - 7ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2005 - val_categorical_accuracy: 0.9657 - 932ms/epoch - 7ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.1908 - val_categorical_accuracy: 0.9662 - 944ms/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2050 - val_categorical_accuracy: 0.9653 - 932ms/epoch - 7ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1910 - val_categorical_accuracy: 0.9659 - 949ms/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.1992 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.1972 - val_categorical_accuracy: 0.9662 - 940ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.1958 - val_categorical_accuracy: 0.9673 - 952ms/epoch - 7ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9905 - val_loss: 0.1973 - val_categorical_accuracy: 0.9674 - 944ms/epoch - 7ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.1938 - val_categorical_accuracy: 0.9673 - 928ms/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.1945 - val_categorical_accuracy: 0.9667 - 956ms/epoch - 7ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2121 - val_categorical_accuracy: 0.9627 - 932ms/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.1959 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.2023 - val_categorical_accuracy: 0.9639 - 932ms/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9907 - val_loss: 0.1986 - val_categorical_accuracy: 0.9660 - 946ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.2030 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2007 - val_categorical_accuracy: 0.9644 - 930ms/epoch - 7ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1941 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2001 - val_categorical_accuracy: 0.9669 - 940ms/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.1981 - val_categorical_accuracy: 0.9654 - 920ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9910 - val_loss: 0.1939 - val_categorical_accuracy: 0.9661 - 940ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2180 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9905 - val_loss: 0.1945 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2004 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2014 - val_categorical_accuracy: 0.9658 - 940ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9848 - val_loss: 0.2001 - val_categorical_accuracy: 0.9638 - 954ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.1967 - val_categorical_accuracy: 0.9645 - 940ms/epoch - 7ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.2303 - val_categorical_accuracy: 0.9599 - 950ms/epoch - 7ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.1956 - val_categorical_accuracy: 0.9643 - 920ms/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.1930 - val_categorical_accuracy: 0.9673 - 920ms/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.1950 - val_categorical_accuracy: 0.9673 - 950ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2162 - val_categorical_accuracy: 0.9604 - 920ms/epoch - 7ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9906 - val_loss: 0.2008 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0241 - categorical_accuracy: 0.9908 - val_loss: 0.1940 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.1933 - val_categorical_accuracy: 0.9673 - 940ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.1968 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1959 - val_categorical_accuracy: 0.9649 - 920ms/epoch - 7ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.1926 - val_categorical_accuracy: 0.9661 - 950ms/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2152 - val_categorical_accuracy: 0.9618 - 930ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.1903 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1983 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2002 - val_categorical_accuracy: 0.9680 - 930ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1975 - val_categorical_accuracy: 0.9676 - 910ms/epoch - 6ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2048 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9912 - val_loss: 0.2055 - val_categorical_accuracy: 0.9665 - 940ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.1669 - categorical_accuracy: 0.9532 - val_loss: 0.1984 - val_categorical_accuracy: 0.9448 - 920ms/epoch - 7ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1762 - val_categorical_accuracy: 0.9645 - 926ms/epoch - 7ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.1825 - val_categorical_accuracy: 0.9664 - 949ms/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9907 - val_loss: 0.1851 - val_categorical_accuracy: 0.9665 - 931ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0243 - categorical_accuracy: 0.9907 - val_loss: 0.1874 - val_categorical_accuracy: 0.9678 - 935ms/epoch - 7ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.1909 - val_categorical_accuracy: 0.9666 - 917ms/epoch - 7ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9904 - val_loss: 0.1851 - val_categorical_accuracy: 0.9671 - 935ms/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.1863 - val_categorical_accuracy: 0.9670 - 917ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.1883 - val_categorical_accuracy: 0.9684 - 917ms/epoch - 7ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.1994 - val_categorical_accuracy: 0.9650 - 935ms/epoch - 7ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9905 - val_loss: 0.1998 - val_categorical_accuracy: 0.9666 - 924ms/epoch - 7ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9911 - val_loss: 0.1968 - val_categorical_accuracy: 0.9660 - 921ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9915 - val_loss: 0.1912 - val_categorical_accuracy: 0.9670 - 942ms/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9905 - val_loss: 0.1883 - val_categorical_accuracy: 0.9670 - 928ms/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.1972 - val_categorical_accuracy: 0.9647 - 931ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.1996 - val_categorical_accuracy: 0.9663 - 926ms/epoch - 7ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2097 - val_categorical_accuracy: 0.9649 - 931ms/epoch - 7ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9908 - val_loss: 0.1961 - val_categorical_accuracy: 0.9672 - 928ms/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9907 - val_loss: 0.2047 - val_categorical_accuracy: 0.9668 - 924ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2061 - val_categorical_accuracy: 0.9641 - 953ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9906 - val_loss: 0.2160 - val_categorical_accuracy: 0.9619 - 938ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0246 - categorical_accuracy: 0.9905 - val_loss: 0.2132 - val_categorical_accuracy: 0.9615 - 924ms/epoch - 7ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9902 - val_loss: 0.1994 - val_categorical_accuracy: 0.9670 - 949ms/epoch - 7ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9846 - val_loss: 0.1817 - val_categorical_accuracy: 0.9672 - 924ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9912 - val_loss: 0.1933 - val_categorical_accuracy: 0.9653 - 921ms/epoch - 7ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9908 - val_loss: 0.1820 - val_categorical_accuracy: 0.9685 - 931ms/epoch - 7ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9910 - val_loss: 0.1967 - val_categorical_accuracy: 0.9661 - 942ms/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9911 - val_loss: 0.1974 - val_categorical_accuracy: 0.9649 - 924ms/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2070 - val_categorical_accuracy: 0.9649 - 928ms/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.1977 - val_categorical_accuracy: 0.9681 - 945ms/epoch - 7ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9901 - val_loss: 0.1952 - val_categorical_accuracy: 0.9675 - 921ms/epoch - 7ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.1936 - val_categorical_accuracy: 0.9687 - 917ms/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9910 - val_loss: 0.2057 - val_categorical_accuracy: 0.9623 - 928ms/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2161 - val_categorical_accuracy: 0.9614 - 928ms/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.1967 - val_categorical_accuracy: 0.9675 - 934ms/epoch - 7ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9910 - val_loss: 0.1963 - val_categorical_accuracy: 0.9665 - 926ms/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1963 - val_categorical_accuracy: 0.9667 - 940ms/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.1919 - val_categorical_accuracy: 0.9667 - 924ms/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2013 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9913 - val_loss: 0.2027 - val_categorical_accuracy: 0.9671 - 934ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9915 - val_loss: 0.2032 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.1943 - val_categorical_accuracy: 0.9687 - 914ms/epoch - 6ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2114 - val_categorical_accuracy: 0.9643 - 940ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2000 - val_categorical_accuracy: 0.9658 - 935ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.2130 - val_categorical_accuracy: 0.9658 - 924ms/epoch - 7ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2027 - val_categorical_accuracy: 0.9672 - 976ms/epoch - 7ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.1977 - val_categorical_accuracy: 0.9672 - 940ms/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9825 - val_loss: 0.1721 - val_categorical_accuracy: 0.9660 - 910ms/epoch - 6ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9912 - val_loss: 0.1837 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.1916 - val_categorical_accuracy: 0.9670 - 934ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.1980 - val_categorical_accuracy: 0.9671 - 916ms/epoch - 6ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.1969 - val_categorical_accuracy: 0.9665 - 920ms/epoch - 7ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.1965 - val_categorical_accuracy: 0.9663 - 910ms/epoch - 6ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.2004 - val_categorical_accuracy: 0.9660 - 930ms/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9902 - val_loss: 0.2099 - val_categorical_accuracy: 0.9629 - 924ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9898 - val_loss: 0.2297 - val_categorical_accuracy: 0.9551 - 920ms/epoch - 7ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9907 - val_loss: 0.1888 - val_categorical_accuracy: 0.9680 - 954ms/epoch - 7ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2029 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9914 - val_loss: 0.1941 - val_categorical_accuracy: 0.9649 - 924ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.1889 - val_categorical_accuracy: 0.9679 - 940ms/epoch - 7ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.1953 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9914 - val_loss: 0.2095 - val_categorical_accuracy: 0.9635 - 930ms/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9906 - val_loss: 0.2097 - val_categorical_accuracy: 0.9654 - 930ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2406 - val_categorical_accuracy: 0.9557 - 940ms/epoch - 7ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9707 - val_loss: 0.1664 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9913 - val_loss: 0.1768 - val_categorical_accuracy: 0.9661 - 915ms/epoch - 6ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.1854 - val_categorical_accuracy: 0.9675 - 950ms/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.1841 - val_categorical_accuracy: 0.9691 - 924ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.1861 - val_categorical_accuracy: 0.9680 - 920ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9919 - val_loss: 0.1838 - val_categorical_accuracy: 0.9681 - 910ms/epoch - 6ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9916 - val_loss: 0.1958 - val_categorical_accuracy: 0.9659 - 930ms/epoch - 7ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9856 - val_loss: 0.1661 - val_categorical_accuracy: 0.9632 - 914ms/epoch - 6ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9902 - val_loss: 0.1848 - val_categorical_accuracy: 0.9659 - 920ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9917 - val_loss: 0.1842 - val_categorical_accuracy: 0.9683 - 954ms/epoch - 7ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.1886 - val_categorical_accuracy: 0.9668 - 920ms/epoch - 7ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9916 - val_loss: 0.1941 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9911 - val_loss: 0.1893 - val_categorical_accuracy: 0.9676 - 950ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.1880 - val_categorical_accuracy: 0.9661 - 934ms/epoch - 7ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2111 - val_categorical_accuracy: 0.9624 - 936ms/epoch - 7ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0237 - categorical_accuracy: 0.9908 - val_loss: 0.1896 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2002 - val_categorical_accuracy: 0.9679 - 950ms/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9910 - val_loss: 0.1961 - val_categorical_accuracy: 0.9674 - 916ms/epoch - 6ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2031 - val_categorical_accuracy: 0.9661 - 916ms/epoch - 6ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9914 - val_loss: 0.1977 - val_categorical_accuracy: 0.9675 - 940ms/epoch - 7ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9887 - val_loss: 0.1897 - val_categorical_accuracy: 0.9657 - 930ms/epoch - 7ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.1971 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2623 - val_categorical_accuracy: 0.9527 - 944ms/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9884 - val_loss: 0.1977 - val_categorical_accuracy: 0.9676 - 910ms/epoch - 6ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2115 - val_categorical_accuracy: 0.9640 - 920ms/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9908 - val_loss: 0.2045 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.1984 - val_categorical_accuracy: 0.9671 - 950ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9913 - val_loss: 0.1996 - val_categorical_accuracy: 0.9671 - 920ms/epoch - 7ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.1920 - val_categorical_accuracy: 0.9672 - 930ms/epoch - 7ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.1963 - val_categorical_accuracy: 0.9679 - 950ms/epoch - 7ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.1982 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2167 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.1985 - val_categorical_accuracy: 0.9683 - 930ms/epoch - 7ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9916 - val_loss: 0.1946 - val_categorical_accuracy: 0.9674 - 920ms/epoch - 7ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9917 - val_loss: 0.1995 - val_categorical_accuracy: 0.9677 - 920ms/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9910 - val_loss: 0.2050 - val_categorical_accuracy: 0.9651 - 920ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9909 - val_loss: 0.2038 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9905 - val_loss: 0.1974 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.1931 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.1944 - val_categorical_accuracy: 0.9682 - 960ms/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2246 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9913 - val_loss: 0.2058 - val_categorical_accuracy: 0.9675 - 910ms/epoch - 6ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2039 - val_categorical_accuracy: 0.9659 - 939ms/epoch - 7ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2082 - val_categorical_accuracy: 0.9661 - 920ms/epoch - 7ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9911 - val_loss: 0.1994 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9908 - val_loss: 0.2039 - val_categorical_accuracy: 0.9677 - 944ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9912 - val_loss: 0.2181 - val_categorical_accuracy: 0.9641 - 964ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2014 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.1989 - val_categorical_accuracy: 0.9682 - 934ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9906 - val_loss: 0.1966 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.1979 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0245 - categorical_accuracy: 0.9906 - val_loss: 0.1977 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9913 - val_loss: 0.2048 - val_categorical_accuracy: 0.9670 - 934ms/epoch - 7ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9911 - val_loss: 0.2454 - val_categorical_accuracy: 0.9619 - 920ms/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9914 - val_loss: 0.2010 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2034 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2004 - val_categorical_accuracy: 0.9669 - 944ms/epoch - 7ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9914 - val_loss: 0.2047 - val_categorical_accuracy: 0.9674 - 916ms/epoch - 6ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2039 - val_categorical_accuracy: 0.9672 - 920ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.2069 - val_categorical_accuracy: 0.9681 - 940ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9914 - val_loss: 0.2162 - val_categorical_accuracy: 0.9630 - 920ms/epoch - 7ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2134 - val_categorical_accuracy: 0.9643 - 930ms/epoch - 7ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9906 - val_loss: 0.2067 - val_categorical_accuracy: 0.9683 - 930ms/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2081 - val_categorical_accuracy: 0.9666 - 940ms/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2145 - val_categorical_accuracy: 0.9626 - 930ms/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9912 - val_loss: 0.2026 - val_categorical_accuracy: 0.9679 - 920ms/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0231 - categorical_accuracy: 0.9909 - val_loss: 0.2044 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9907 - val_loss: 0.2055 - val_categorical_accuracy: 0.9656 - 920ms/epoch - 7ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9735 - val_loss: 0.1658 - val_categorical_accuracy: 0.9612 - 937ms/epoch - 7ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.1762 - val_categorical_accuracy: 0.9671 - 948ms/epoch - 7ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9914 - val_loss: 0.1919 - val_categorical_accuracy: 0.9664 - 920ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9915 - val_loss: 0.1799 - val_categorical_accuracy: 0.9687 - 928ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.1979 - val_categorical_accuracy: 0.9659 - 917ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.1990 - val_categorical_accuracy: 0.9689 - 944ms/epoch - 7ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2098 - val_categorical_accuracy: 0.9655 - 932ms/epoch - 7ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0226 - categorical_accuracy: 0.9913 - val_loss: 0.2111 - val_categorical_accuracy: 0.9652 - 920ms/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.1925 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.1969 - val_categorical_accuracy: 0.9681 - 916ms/epoch - 6ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2161 - val_categorical_accuracy: 0.9610 - 941ms/epoch - 7ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0229 - categorical_accuracy: 0.9913 - val_loss: 0.1933 - val_categorical_accuracy: 0.9686 - 976ms/epoch - 7ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9904 - val_loss: 0.1968 - val_categorical_accuracy: 0.9670 - 1s/epoch - 9ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2442 - val_categorical_accuracy: 0.9574 - 1s/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9912 - val_loss: 0.2025 - val_categorical_accuracy: 0.9679 - 1s/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9910 - val_loss: 0.2029 - val_categorical_accuracy: 0.9660 - 948ms/epoch - 7ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.1980 - val_categorical_accuracy: 0.9676 - 948ms/epoch - 7ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9914 - val_loss: 0.2059 - val_categorical_accuracy: 0.9664 - 944ms/epoch - 7ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.1995 - val_categorical_accuracy: 0.9686 - 948ms/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.1986 - val_categorical_accuracy: 0.9662 - 928ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9913 - val_loss: 0.2102 - val_categorical_accuracy: 0.9650 - 933ms/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9916 - val_loss: 0.2155 - val_categorical_accuracy: 0.9632 - 944ms/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9914 - val_loss: 0.2006 - val_categorical_accuracy: 0.9671 - 940ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9917 - val_loss: 0.2010 - val_categorical_accuracy: 0.9671 - 936ms/epoch - 7ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0240 - categorical_accuracy: 0.9909 - val_loss: 0.2237 - val_categorical_accuracy: 0.9607 - 956ms/epoch - 7ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2194 - val_categorical_accuracy: 0.9641 - 936ms/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2079 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2153 - val_categorical_accuracy: 0.9642 - 928ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9843 - val_loss: 0.1734 - val_categorical_accuracy: 0.9668 - 944ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0234 - categorical_accuracy: 0.9911 - val_loss: 0.1853 - val_categorical_accuracy: 0.9688 - 941ms/epoch - 7ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.1983 - val_categorical_accuracy: 0.9668 - 944ms/epoch - 7ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2139 - val_categorical_accuracy: 0.9651 - 951ms/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.1979 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.1964 - val_categorical_accuracy: 0.9687 - 920ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0244 - categorical_accuracy: 0.9908 - val_loss: 0.1952 - val_categorical_accuracy: 0.9665 - 950ms/epoch - 7ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9912 - val_loss: 0.2057 - val_categorical_accuracy: 0.9675 - 924ms/epoch - 7ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.1963 - val_categorical_accuracy: 0.9688 - 920ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2076 - val_categorical_accuracy: 0.9673 - 914ms/epoch - 6ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9918 - val_loss: 0.2025 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.1974 - val_categorical_accuracy: 0.9681 - 930ms/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9909 - val_loss: 0.2046 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0236 - categorical_accuracy: 0.9909 - val_loss: 0.1996 - val_categorical_accuracy: 0.9671 - 990ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2144 - val_categorical_accuracy: 0.9646 - 940ms/epoch - 7ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2065 - val_categorical_accuracy: 0.9655 - 930ms/epoch - 7ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0238 - categorical_accuracy: 0.9908 - val_loss: 0.2063 - val_categorical_accuracy: 0.9674 - 940ms/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2051 - val_categorical_accuracy: 0.9676 - 930ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2041 - val_categorical_accuracy: 0.9678 - 934ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9905 - val_loss: 0.2086 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9907 - val_loss: 0.2048 - val_categorical_accuracy: 0.9667 - 924ms/epoch - 7ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2096 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9915 - val_loss: 0.2311 - val_categorical_accuracy: 0.9634 - 924ms/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9914 - val_loss: 0.2160 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9917 - val_loss: 0.2307 - val_categorical_accuracy: 0.9636 - 924ms/epoch - 7ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9912 - val_loss: 0.2067 - val_categorical_accuracy: 0.9669 - 920ms/epoch - 7ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9920 - val_loss: 0.2333 - val_categorical_accuracy: 0.9609 - 934ms/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9902 - val_loss: 0.2029 - val_categorical_accuracy: 0.9663 - 930ms/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9916 - val_loss: 0.2024 - val_categorical_accuracy: 0.9676 - 924ms/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9906 - val_loss: 0.2171 - val_categorical_accuracy: 0.9636 - 926ms/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9883 - val_loss: 0.2082 - val_categorical_accuracy: 0.9599 - 930ms/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9903 - val_loss: 0.1944 - val_categorical_accuracy: 0.9676 - 920ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9920 - val_loss: 0.1969 - val_categorical_accuracy: 0.9667 - 920ms/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0223 - categorical_accuracy: 0.9913 - val_loss: 0.2068 - val_categorical_accuracy: 0.9668 - 950ms/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2060 - val_categorical_accuracy: 0.9658 - 950ms/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2038 - val_categorical_accuracy: 0.9681 - 925ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2146 - val_categorical_accuracy: 0.9638 - 940ms/epoch - 7ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2021 - val_categorical_accuracy: 0.9677 - 930ms/epoch - 7ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9915 - val_loss: 0.2054 - val_categorical_accuracy: 0.9678 - 920ms/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9918 - val_loss: 0.2159 - val_categorical_accuracy: 0.9676 - 924ms/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9910 - val_loss: 0.2016 - val_categorical_accuracy: 0.9670 - 940ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2106 - val_categorical_accuracy: 0.9655 - 913ms/epoch - 6ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2207 - val_categorical_accuracy: 0.9648 - 770ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2332 - val_categorical_accuracy: 0.9589 - 800ms/epoch - 6ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2078 - val_categorical_accuracy: 0.9675 - 962ms/epoch - 7ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9817 - val_loss: 0.1787 - val_categorical_accuracy: 0.9667 - 948ms/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0239 - categorical_accuracy: 0.9910 - val_loss: 0.1999 - val_categorical_accuracy: 0.9663 - 880ms/epoch - 6ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9918 - val_loss: 0.1922 - val_categorical_accuracy: 0.9677 - 820ms/epoch - 6ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.1995 - val_categorical_accuracy: 0.9666 - 875ms/epoch - 6ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2137 - val_categorical_accuracy: 0.9652 - 935ms/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9919 - val_loss: 0.2141 - val_categorical_accuracy: 0.9670 - 950ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2213 - val_categorical_accuracy: 0.9653 - 941ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0214 - categorical_accuracy: 0.9916 - val_loss: 0.2030 - val_categorical_accuracy: 0.9671 - 919ms/epoch - 7ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9860 - val_loss: 0.1833 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0235 - categorical_accuracy: 0.9910 - val_loss: 0.1938 - val_categorical_accuracy: 0.9655 - 950ms/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9912 - val_loss: 0.2017 - val_categorical_accuracy: 0.9664 - 930ms/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2079 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.2008 - val_categorical_accuracy: 0.9673 - 990ms/epoch - 7ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9919 - val_loss: 0.2017 - val_categorical_accuracy: 0.9669 - 940ms/epoch - 7ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9920 - val_loss: 0.2117 - val_categorical_accuracy: 0.9635 - 910ms/epoch - 6ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9919 - val_loss: 0.1995 - val_categorical_accuracy: 0.9682 - 870ms/epoch - 6ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2065 - val_categorical_accuracy: 0.9656 - 800ms/epoch - 6ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9917 - val_loss: 0.2041 - val_categorical_accuracy: 0.9666 - 860ms/epoch - 6ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9918 - val_loss: 0.2138 - val_categorical_accuracy: 0.9649 - 940ms/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0230 - categorical_accuracy: 0.9911 - val_loss: 0.2077 - val_categorical_accuracy: 0.9670 - 959ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2069 - val_categorical_accuracy: 0.9687 - 940ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2105 - val_categorical_accuracy: 0.9675 - 960ms/epoch - 7ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9915 - val_loss: 0.2116 - val_categorical_accuracy: 0.9640 - 940ms/epoch - 7ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9919 - val_loss: 0.2088 - val_categorical_accuracy: 0.9663 - 910ms/epoch - 6ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9919 - val_loss: 0.2139 - val_categorical_accuracy: 0.9649 - 930ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2020 - val_categorical_accuracy: 0.9670 - 920ms/epoch - 7ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9919 - val_loss: 0.2211 - val_categorical_accuracy: 0.9648 - 930ms/epoch - 7ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2166 - val_categorical_accuracy: 0.9644 - 950ms/epoch - 7ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9914 - val_loss: 0.2345 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0222 - categorical_accuracy: 0.9913 - val_loss: 0.2162 - val_categorical_accuracy: 0.9673 - 930ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9920 - val_loss: 0.2086 - val_categorical_accuracy: 0.9674 - 930ms/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9916 - val_loss: 0.2257 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.2162 - val_categorical_accuracy: 0.9667 - 940ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9920 - val_loss: 0.2102 - val_categorical_accuracy: 0.9669 - 965ms/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2102 - val_categorical_accuracy: 0.9666 - 920ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9914 - val_loss: 0.2200 - val_categorical_accuracy: 0.9653 - 1s/epoch - 8ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9916 - val_loss: 0.2095 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9918 - val_loss: 0.2251 - val_categorical_accuracy: 0.9636 - 930ms/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2170 - val_categorical_accuracy: 0.9645 - 930ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9916 - val_loss: 0.2076 - val_categorical_accuracy: 0.9676 - 940ms/epoch - 7ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9887 - val_loss: 0.2028 - val_categorical_accuracy: 0.9660 - 920ms/epoch - 7ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2103 - val_categorical_accuracy: 0.9668 - 930ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9917 - val_loss: 0.2337 - val_categorical_accuracy: 0.9636 - 940ms/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9905 - val_loss: 0.2109 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9921 - val_loss: 0.2023 - val_categorical_accuracy: 0.9686 - 924ms/epoch - 7ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0225 - categorical_accuracy: 0.9913 - val_loss: 0.2082 - val_categorical_accuracy: 0.9663 - 945ms/epoch - 7ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2092 - val_categorical_accuracy: 0.9678 - 1s/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0227 - categorical_accuracy: 0.9911 - val_loss: 0.2086 - val_categorical_accuracy: 0.9673 - 960ms/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0199 - categorical_accuracy: 0.9921 - val_loss: 0.2145 - val_categorical_accuracy: 0.9671 - 950ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2134 - val_categorical_accuracy: 0.9680 - 970ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9914 - val_loss: 0.2291 - val_categorical_accuracy: 0.9650 - 954ms/epoch - 7ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0228 - categorical_accuracy: 0.9912 - val_loss: 0.2149 - val_categorical_accuracy: 0.9653 - 930ms/epoch - 7ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0217 - categorical_accuracy: 0.9915 - val_loss: 0.2283 - val_categorical_accuracy: 0.9646 - 944ms/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9809 - val_loss: 0.1890 - val_categorical_accuracy: 0.9663 - 960ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9920 - val_loss: 0.1985 - val_categorical_accuracy: 0.9655 - 986ms/epoch - 7ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9921 - val_loss: 0.2014 - val_categorical_accuracy: 0.9672 - 800ms/epoch - 6ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9919 - val_loss: 0.2192 - val_categorical_accuracy: 0.9647 - 797ms/epoch - 6ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0218 - categorical_accuracy: 0.9915 - val_loss: 0.2075 - val_categorical_accuracy: 0.9676 - 958ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9921 - val_loss: 0.2031 - val_categorical_accuracy: 0.9687 - 941ms/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2250 - val_categorical_accuracy: 0.9629 - 959ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2038 - val_categorical_accuracy: 0.9677 - 960ms/epoch - 7ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9888 - val_loss: 0.2007 - val_categorical_accuracy: 0.9651 - 964ms/epoch - 7ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9916 - val_loss: 0.1963 - val_categorical_accuracy: 0.9677 - 982ms/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0211 - categorical_accuracy: 0.9918 - val_loss: 0.2171 - val_categorical_accuracy: 0.9661 - 1s/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2110 - val_categorical_accuracy: 0.9672 - 744ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0219 - categorical_accuracy: 0.9916 - val_loss: 0.2045 - val_categorical_accuracy: 0.9675 - 813ms/epoch - 6ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9918 - val_loss: 0.2086 - val_categorical_accuracy: 0.9663 - 1s/epoch - 7ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9918 - val_loss: 0.2069 - val_categorical_accuracy: 0.9679 - 854ms/epoch - 6ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2154 - val_categorical_accuracy: 0.9660 - 831ms/epoch - 6ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9924 - val_loss: 0.2154 - val_categorical_accuracy: 0.9655 - 948ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.2130 - val_categorical_accuracy: 0.9657 - 970ms/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9808 - val_loss: 0.1898 - val_categorical_accuracy: 0.9638 - 958ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0220 - categorical_accuracy: 0.9915 - val_loss: 0.1950 - val_categorical_accuracy: 0.9670 - 952ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0205 - categorical_accuracy: 0.9921 - val_loss: 0.1972 - val_categorical_accuracy: 0.9673 - 936ms/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9917 - val_loss: 0.2017 - val_categorical_accuracy: 0.9656 - 948ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2098 - val_categorical_accuracy: 0.9650 - 954ms/epoch - 7ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.2048 - val_categorical_accuracy: 0.9655 - 982ms/epoch - 7ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.1967 - val_categorical_accuracy: 0.9663 - 964ms/epoch - 7ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0196 - categorical_accuracy: 0.9925 - val_loss: 0.2085 - val_categorical_accuracy: 0.9675 - 951ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0207 - categorical_accuracy: 0.9919 - val_loss: 0.2272 - val_categorical_accuracy: 0.9626 - 988ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9903 - val_loss: 0.2051 - val_categorical_accuracy: 0.9664 - 965ms/epoch - 7ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9918 - val_loss: 0.2045 - val_categorical_accuracy: 0.9681 - 930ms/epoch - 7ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0213 - categorical_accuracy: 0.9917 - val_loss: 0.2133 - val_categorical_accuracy: 0.9663 - 952ms/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9920 - val_loss: 0.2110 - val_categorical_accuracy: 0.9673 - 948ms/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0233 - categorical_accuracy: 0.9910 - val_loss: 0.2123 - val_categorical_accuracy: 0.9671 - 946ms/epoch - 7ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0221 - categorical_accuracy: 0.9916 - val_loss: 0.2067 - val_categorical_accuracy: 0.9673 - 966ms/epoch - 7ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0216 - categorical_accuracy: 0.9916 - val_loss: 0.2165 - val_categorical_accuracy: 0.9624 - 876ms/epoch - 6ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.2162 - val_categorical_accuracy: 0.9649 - 808ms/epoch - 6ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9896 - val_loss: 0.2051 - val_categorical_accuracy: 0.9655 - 827ms/epoch - 6ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2397 - val_categorical_accuracy: 0.9588 - 960ms/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9921 - val_loss: 0.2131 - val_categorical_accuracy: 0.9653 - 940ms/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0206 - categorical_accuracy: 0.9918 - val_loss: 0.2089 - val_categorical_accuracy: 0.9669 - 930ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2097 - val_categorical_accuracy: 0.9670 - 930ms/epoch - 7ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9916 - val_loss: 0.2157 - val_categorical_accuracy: 0.9665 - 930ms/epoch - 7ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0215 - categorical_accuracy: 0.9915 - val_loss: 0.2054 - val_categorical_accuracy: 0.9664 - 940ms/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9922 - val_loss: 0.2141 - val_categorical_accuracy: 0.9670 - 950ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0208 - categorical_accuracy: 0.9918 - val_loss: 0.2117 - val_categorical_accuracy: 0.9678 - 970ms/epoch - 7ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0197 - categorical_accuracy: 0.9922 - val_loss: 0.2198 - val_categorical_accuracy: 0.9640 - 985ms/epoch - 7ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0212 - categorical_accuracy: 0.9917 - val_loss: 0.2115 - val_categorical_accuracy: 0.9672 - 950ms/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0204 - categorical_accuracy: 0.9920 - val_loss: 0.2166 - val_categorical_accuracy: 0.9651 - 930ms/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2176 - val_categorical_accuracy: 0.9635 - 920ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0210 - categorical_accuracy: 0.9918 - val_loss: 0.2068 - val_categorical_accuracy: 0.9680 - 940ms/epoch - 7ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0202 - categorical_accuracy: 0.9921 - val_loss: 0.2163 - val_categorical_accuracy: 0.9671 - 950ms/epoch - 7ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0224 - categorical_accuracy: 0.9913 - val_loss: 0.2162 - val_categorical_accuracy: 0.9662 - 930ms/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0209 - categorical_accuracy: 0.9918 - val_loss: 0.2224 - val_categorical_accuracy: 0.9655 - 940ms/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0242 - categorical_accuracy: 0.9907 - val_loss: 0.2153 - val_categorical_accuracy: 0.9662 - 950ms/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0200 - categorical_accuracy: 0.9921 - val_loss: 0.2189 - val_categorical_accuracy: 0.9675 - 960ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9802 - val_loss: 0.1709 - val_categorical_accuracy: 0.9643 - 870ms/epoch - 6ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0232 - categorical_accuracy: 0.9911 - val_loss: 0.1868 - val_categorical_accuracy: 0.9682 - 800ms/epoch - 6ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0203 - categorical_accuracy: 0.9920 - val_loss: 0.1976 - val_categorical_accuracy: 0.9661 - 880ms/epoch - 6ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0201 - categorical_accuracy: 0.9921 - val_loss: 0.2045 - val_categorical_accuracy: 0.9650 - 970ms/epoch - 7ms/step
processing fold # 10 
Epoch 1/1500
141/141 - 2s - loss: 1.9895 - categorical_accuracy: 0.2433 - val_loss: 1.7973 - val_categorical_accuracy: 0.3144 - 2s/epoch - 12ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6483 - categorical_accuracy: 0.3855 - val_loss: 1.5719 - val_categorical_accuracy: 0.4022 - 940ms/epoch - 7ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3604 - categorical_accuracy: 0.4864 - val_loss: 1.1916 - val_categorical_accuracy: 0.5473 - 920ms/epoch - 7ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2140 - categorical_accuracy: 0.5455 - val_loss: 1.5538 - val_categorical_accuracy: 0.4521 - 915ms/epoch - 6ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.1364 - categorical_accuracy: 0.5801 - val_loss: 1.1653 - val_categorical_accuracy: 0.5661 - 950ms/epoch - 7ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9521 - categorical_accuracy: 0.6440 - val_loss: 0.8784 - val_categorical_accuracy: 0.6660 - 920ms/epoch - 7ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.9188 - categorical_accuracy: 0.6619 - val_loss: 0.7358 - val_categorical_accuracy: 0.7232 - 930ms/epoch - 7ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8717 - categorical_accuracy: 0.6856 - val_loss: 0.7207 - val_categorical_accuracy: 0.7298 - 960ms/epoch - 7ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7271 - categorical_accuracy: 0.7278 - val_loss: 0.7092 - val_categorical_accuracy: 0.7311 - 940ms/epoch - 7ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7466 - categorical_accuracy: 0.7296 - val_loss: 1.2440 - val_categorical_accuracy: 0.5819 - 926ms/epoch - 7ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6493 - categorical_accuracy: 0.7587 - val_loss: 0.6785 - val_categorical_accuracy: 0.7398 - 932ms/epoch - 7ms/step
Epoch 12/1500
141/141 - 1s - loss: 1.0673 - categorical_accuracy: 0.7492 - val_loss: 2.2257 - val_categorical_accuracy: 0.1243 - 932ms/epoch - 7ms/step
Epoch 13/1500
141/141 - 1s - loss: 1.9651 - categorical_accuracy: 0.2097 - val_loss: 1.7915 - val_categorical_accuracy: 0.2911 - 932ms/epoch - 7ms/step
Epoch 14/1500
141/141 - 1s - loss: 1.7276 - categorical_accuracy: 0.3170 - val_loss: 1.5580 - val_categorical_accuracy: 0.4036 - 932ms/epoch - 7ms/step
Epoch 15/1500
141/141 - 1s - loss: 1.4859 - categorical_accuracy: 0.4370 - val_loss: 1.3527 - val_categorical_accuracy: 0.4911 - 940ms/epoch - 7ms/step
Epoch 16/1500
141/141 - 1s - loss: 1.2626 - categorical_accuracy: 0.5210 - val_loss: 1.1469 - val_categorical_accuracy: 0.5571 - 948ms/epoch - 7ms/step
Epoch 17/1500
141/141 - 1s - loss: 1.1138 - categorical_accuracy: 0.5815 - val_loss: 0.9663 - val_categorical_accuracy: 0.6422 - 936ms/epoch - 7ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.9697 - categorical_accuracy: 0.6332 - val_loss: 1.0224 - val_categorical_accuracy: 0.6147 - 932ms/epoch - 7ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.8936 - categorical_accuracy: 0.6646 - val_loss: 0.8599 - val_categorical_accuracy: 0.6738 - 923ms/epoch - 7ms/step
Epoch 20/1500
141/141 - 1s - loss: 1.3517 - categorical_accuracy: 0.5335 - val_loss: 1.5399 - val_categorical_accuracy: 0.4173 - 948ms/epoch - 7ms/step
Epoch 21/1500
141/141 - 1s - loss: 1.1548 - categorical_accuracy: 0.5785 - val_loss: 0.9055 - val_categorical_accuracy: 0.6738 - 935ms/epoch - 7ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.8699 - categorical_accuracy: 0.6784 - val_loss: 0.7683 - val_categorical_accuracy: 0.7109 - 967ms/epoch - 7ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.7662 - categorical_accuracy: 0.7135 - val_loss: 1.3568 - val_categorical_accuracy: 0.5672 - 952ms/epoch - 7ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.7182 - categorical_accuracy: 0.7352 - val_loss: 0.6699 - val_categorical_accuracy: 0.7530 - 809ms/epoch - 6ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.7099 - categorical_accuracy: 0.7435 - val_loss: 0.6482 - val_categorical_accuracy: 0.7573 - 764ms/epoch - 5ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.6218 - categorical_accuracy: 0.7709 - val_loss: 0.5526 - val_categorical_accuracy: 0.8004 - 796ms/epoch - 6ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.5894 - categorical_accuracy: 0.7838 - val_loss: 0.5296 - val_categorical_accuracy: 0.8072 - 928ms/epoch - 7ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.5815 - categorical_accuracy: 0.7885 - val_loss: 0.5134 - val_categorical_accuracy: 0.8115 - 983ms/epoch - 7ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.5194 - categorical_accuracy: 0.8079 - val_loss: 0.7942 - val_categorical_accuracy: 0.7249 - 848ms/epoch - 6ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.6234 - categorical_accuracy: 0.7864 - val_loss: 0.5289 - val_categorical_accuracy: 0.8034 - 988ms/epoch - 7ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4961 - categorical_accuracy: 0.8187 - val_loss: 0.4349 - val_categorical_accuracy: 0.8411 - 956ms/epoch - 7ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.4515 - categorical_accuracy: 0.8339 - val_loss: 0.4508 - val_categorical_accuracy: 0.8353 - 857ms/epoch - 6ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.4731 - categorical_accuracy: 0.8304 - val_loss: 0.4908 - val_categorical_accuracy: 0.8205 - 906ms/epoch - 6ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.4514 - categorical_accuracy: 0.8385 - val_loss: 0.5433 - val_categorical_accuracy: 0.8039 - 1s/epoch - 7ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.4148 - categorical_accuracy: 0.8494 - val_loss: 0.4012 - val_categorical_accuracy: 0.8530 - 1s/epoch - 9ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.4300 - categorical_accuracy: 0.8470 - val_loss: 0.4638 - val_categorical_accuracy: 0.8281 - 1s/epoch - 7ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3873 - categorical_accuracy: 0.8595 - val_loss: 0.4157 - val_categorical_accuracy: 0.8420 - 1s/epoch - 7ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3811 - categorical_accuracy: 0.8629 - val_loss: 0.3507 - val_categorical_accuracy: 0.8751 - 1s/epoch - 7ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3672 - categorical_accuracy: 0.8680 - val_loss: 0.3953 - val_categorical_accuracy: 0.8536 - 1s/epoch - 7ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.3563 - categorical_accuracy: 0.8731 - val_loss: 0.4758 - val_categorical_accuracy: 0.8261 - 1s/epoch - 7ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3461 - categorical_accuracy: 0.8750 - val_loss: 0.3173 - val_categorical_accuracy: 0.8865 - 1s/epoch - 7ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.3343 - categorical_accuracy: 0.8793 - val_loss: 0.3433 - val_categorical_accuracy: 0.8750 - 1s/epoch - 7ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.3186 - categorical_accuracy: 0.8848 - val_loss: 0.3988 - val_categorical_accuracy: 0.8544 - 1s/epoch - 7ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.4362 - categorical_accuracy: 0.8535 - val_loss: 0.3484 - val_categorical_accuracy: 0.8757 - 1s/epoch - 7ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.3073 - categorical_accuracy: 0.8906 - val_loss: 0.3123 - val_categorical_accuracy: 0.8877 - 993ms/epoch - 7ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.3200 - categorical_accuracy: 0.8867 - val_loss: 0.2977 - val_categorical_accuracy: 0.8924 - 994ms/epoch - 7ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2889 - categorical_accuracy: 0.8969 - val_loss: 0.3254 - val_categorical_accuracy: 0.8859 - 979ms/epoch - 7ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.3126 - categorical_accuracy: 0.8914 - val_loss: 0.3142 - val_categorical_accuracy: 0.8852 - 1s/epoch - 7ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2787 - categorical_accuracy: 0.9000 - val_loss: 0.2717 - val_categorical_accuracy: 0.9038 - 994ms/epoch - 7ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2641 - categorical_accuracy: 0.9059 - val_loss: 0.2972 - val_categorical_accuracy: 0.8941 - 995ms/epoch - 7ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.3101 - categorical_accuracy: 0.8949 - val_loss: 0.2595 - val_categorical_accuracy: 0.9084 - 1s/epoch - 7ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2650 - categorical_accuracy: 0.9058 - val_loss: 0.3021 - val_categorical_accuracy: 0.8887 - 976ms/epoch - 7ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2622 - categorical_accuracy: 0.9084 - val_loss: 0.2605 - val_categorical_accuracy: 0.9067 - 990ms/epoch - 7ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2435 - categorical_accuracy: 0.9132 - val_loss: 0.3306 - val_categorical_accuracy: 0.8828 - 1s/epoch - 7ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2486 - categorical_accuracy: 0.9120 - val_loss: 0.3626 - val_categorical_accuracy: 0.8641 - 989ms/epoch - 7ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2474 - categorical_accuracy: 0.9125 - val_loss: 0.2605 - val_categorical_accuracy: 0.9063 - 972ms/epoch - 7ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2294 - categorical_accuracy: 0.9193 - val_loss: 0.2625 - val_categorical_accuracy: 0.9034 - 990ms/epoch - 7ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.3050 - categorical_accuracy: 0.9023 - val_loss: 0.2526 - val_categorical_accuracy: 0.9101 - 987ms/epoch - 7ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2219 - categorical_accuracy: 0.9217 - val_loss: 0.2556 - val_categorical_accuracy: 0.9102 - 1s/epoch - 7ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2241 - categorical_accuracy: 0.9219 - val_loss: 0.2303 - val_categorical_accuracy: 0.9185 - 1s/epoch - 7ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2266 - categorical_accuracy: 0.9204 - val_loss: 0.3542 - val_categorical_accuracy: 0.8780 - 1s/epoch - 7ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2084 - categorical_accuracy: 0.9272 - val_loss: 0.2465 - val_categorical_accuracy: 0.9123 - 1s/epoch - 7ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.2191 - categorical_accuracy: 0.9235 - val_loss: 0.2457 - val_categorical_accuracy: 0.9114 - 1s/epoch - 7ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2087 - categorical_accuracy: 0.9261 - val_loss: 0.2282 - val_categorical_accuracy: 0.9186 - 986ms/epoch - 7ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2026 - categorical_accuracy: 0.9287 - val_loss: 0.2232 - val_categorical_accuracy: 0.9216 - 997ms/epoch - 7ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.2434 - categorical_accuracy: 0.9194 - val_loss: 0.2347 - val_categorical_accuracy: 0.9180 - 1s/epoch - 7ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1970 - categorical_accuracy: 0.9315 - val_loss: 0.2854 - val_categorical_accuracy: 0.8959 - 985ms/epoch - 7ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1933 - categorical_accuracy: 0.9328 - val_loss: 0.2343 - val_categorical_accuracy: 0.9167 - 970ms/epoch - 7ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.2124 - categorical_accuracy: 0.9280 - val_loss: 0.2127 - val_categorical_accuracy: 0.9255 - 983ms/epoch - 7ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.2080 - categorical_accuracy: 0.9284 - val_loss: 0.2354 - val_categorical_accuracy: 0.9166 - 987ms/epoch - 7ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1779 - categorical_accuracy: 0.9381 - val_loss: 0.2061 - val_categorical_accuracy: 0.9270 - 989ms/epoch - 7ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.2040 - categorical_accuracy: 0.9310 - val_loss: 0.2128 - val_categorical_accuracy: 0.9232 - 1000ms/epoch - 7ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1931 - categorical_accuracy: 0.9342 - val_loss: 0.2083 - val_categorical_accuracy: 0.9258 - 997ms/epoch - 7ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1666 - categorical_accuracy: 0.9419 - val_loss: 0.2376 - val_categorical_accuracy: 0.9169 - 999ms/epoch - 7ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1702 - categorical_accuracy: 0.9404 - val_loss: 0.1988 - val_categorical_accuracy: 0.9314 - 972ms/epoch - 7ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.3908 - categorical_accuracy: 0.8803 - val_loss: 0.2229 - val_categorical_accuracy: 0.9230 - 997ms/epoch - 7ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1746 - categorical_accuracy: 0.9402 - val_loss: 0.2153 - val_categorical_accuracy: 0.9244 - 976ms/epoch - 7ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1755 - categorical_accuracy: 0.9405 - val_loss: 0.2076 - val_categorical_accuracy: 0.9291 - 1s/epoch - 7ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1572 - categorical_accuracy: 0.9454 - val_loss: 0.3653 - val_categorical_accuracy: 0.8772 - 1s/epoch - 7ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1688 - categorical_accuracy: 0.9420 - val_loss: 0.2557 - val_categorical_accuracy: 0.9098 - 1s/epoch - 8ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1842 - categorical_accuracy: 0.9373 - val_loss: 0.2187 - val_categorical_accuracy: 0.9241 - 1s/epoch - 7ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1616 - categorical_accuracy: 0.9440 - val_loss: 0.2141 - val_categorical_accuracy: 0.9249 - 900ms/epoch - 6ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1522 - categorical_accuracy: 0.9476 - val_loss: 0.2117 - val_categorical_accuracy: 0.9272 - 905ms/epoch - 6ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1603 - categorical_accuracy: 0.9443 - val_loss: 0.2012 - val_categorical_accuracy: 0.9302 - 1s/epoch - 7ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1697 - categorical_accuracy: 0.9434 - val_loss: 0.1909 - val_categorical_accuracy: 0.9342 - 1s/epoch - 7ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1394 - categorical_accuracy: 0.9522 - val_loss: 0.2037 - val_categorical_accuracy: 0.9295 - 998ms/epoch - 7ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1540 - categorical_accuracy: 0.9473 - val_loss: 1.0168 - val_categorical_accuracy: 0.7293 - 979ms/epoch - 7ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.2458 - categorical_accuracy: 0.9247 - val_loss: 0.1833 - val_categorical_accuracy: 0.9375 - 1s/epoch - 7ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1416 - categorical_accuracy: 0.9512 - val_loss: 0.2483 - val_categorical_accuracy: 0.9136 - 967ms/epoch - 7ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1568 - categorical_accuracy: 0.9480 - val_loss: 0.2282 - val_categorical_accuracy: 0.9204 - 979ms/epoch - 7ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1435 - categorical_accuracy: 0.9505 - val_loss: 0.1966 - val_categorical_accuracy: 0.9339 - 965ms/epoch - 7ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1383 - categorical_accuracy: 0.9520 - val_loss: 0.1967 - val_categorical_accuracy: 0.9352 - 999ms/epoch - 7ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1337 - categorical_accuracy: 0.9540 - val_loss: 0.2615 - val_categorical_accuracy: 0.9097 - 1s/epoch - 7ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1352 - categorical_accuracy: 0.9534 - val_loss: 0.1772 - val_categorical_accuracy: 0.9420 - 1s/epoch - 7ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1358 - categorical_accuracy: 0.9530 - val_loss: 0.2294 - val_categorical_accuracy: 0.9229 - 1s/epoch - 7ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.2421 - categorical_accuracy: 0.9272 - val_loss: 0.1881 - val_categorical_accuracy: 0.9358 - 984ms/epoch - 7ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1308 - categorical_accuracy: 0.9549 - val_loss: 0.1965 - val_categorical_accuracy: 0.9337 - 977ms/epoch - 7ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1279 - categorical_accuracy: 0.9560 - val_loss: 0.2417 - val_categorical_accuracy: 0.9185 - 993ms/epoch - 7ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1823 - categorical_accuracy: 0.9428 - val_loss: 0.2142 - val_categorical_accuracy: 0.9262 - 969ms/epoch - 7ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1277 - categorical_accuracy: 0.9565 - val_loss: 0.1685 - val_categorical_accuracy: 0.9436 - 1s/epoch - 7ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1289 - categorical_accuracy: 0.9555 - val_loss: 0.3335 - val_categorical_accuracy: 0.8930 - 1s/epoch - 7ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1536 - categorical_accuracy: 0.9497 - val_loss: 0.1785 - val_categorical_accuracy: 0.9405 - 989ms/epoch - 7ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1193 - categorical_accuracy: 0.9590 - val_loss: 0.2146 - val_categorical_accuracy: 0.9299 - 998ms/epoch - 7ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1269 - categorical_accuracy: 0.9568 - val_loss: 0.1743 - val_categorical_accuracy: 0.9410 - 999ms/epoch - 7ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1177 - categorical_accuracy: 0.9595 - val_loss: 0.1779 - val_categorical_accuracy: 0.9420 - 1s/epoch - 7ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1211 - categorical_accuracy: 0.9585 - val_loss: 0.2331 - val_categorical_accuracy: 0.9224 - 1s/epoch - 7ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1325 - categorical_accuracy: 0.9547 - val_loss: 0.1880 - val_categorical_accuracy: 0.9370 - 997ms/epoch - 7ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1380 - categorical_accuracy: 0.9543 - val_loss: 0.1736 - val_categorical_accuracy: 0.9425 - 980ms/epoch - 7ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9604 - val_loss: 0.1721 - val_categorical_accuracy: 0.9429 - 967ms/epoch - 7ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1335 - categorical_accuracy: 0.9554 - val_loss: 0.1664 - val_categorical_accuracy: 0.9444 - 997ms/epoch - 7ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1083 - categorical_accuracy: 0.9628 - val_loss: 0.1821 - val_categorical_accuracy: 0.9404 - 985ms/epoch - 7ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1260 - categorical_accuracy: 0.9574 - val_loss: 0.1791 - val_categorical_accuracy: 0.9395 - 999ms/epoch - 7ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1098 - categorical_accuracy: 0.9622 - val_loss: 0.2047 - val_categorical_accuracy: 0.9320 - 995ms/epoch - 7ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1388 - categorical_accuracy: 0.9532 - val_loss: 0.2308 - val_categorical_accuracy: 0.9246 - 1s/epoch - 7ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1041 - categorical_accuracy: 0.9646 - val_loss: 0.1708 - val_categorical_accuracy: 0.9444 - 983ms/epoch - 7ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1056 - categorical_accuracy: 0.9636 - val_loss: 0.1732 - val_categorical_accuracy: 0.9422 - 982ms/epoch - 7ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9626 - val_loss: 0.3776 - val_categorical_accuracy: 0.8863 - 1s/epoch - 7ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1297 - categorical_accuracy: 0.9578 - val_loss: 0.3054 - val_categorical_accuracy: 0.9022 - 1s/epoch - 7ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1050 - categorical_accuracy: 0.9642 - val_loss: 0.1668 - val_categorical_accuracy: 0.9452 - 993ms/epoch - 7ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1712 - categorical_accuracy: 0.9484 - val_loss: 0.2413 - val_categorical_accuracy: 0.9175 - 1s/epoch - 7ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1099 - categorical_accuracy: 0.9627 - val_loss: 0.1801 - val_categorical_accuracy: 0.9426 - 963ms/epoch - 7ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9664 - val_loss: 0.1742 - val_categorical_accuracy: 0.9430 - 858ms/epoch - 6ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1308 - categorical_accuracy: 0.9571 - val_loss: 0.2014 - val_categorical_accuracy: 0.9345 - 871ms/epoch - 6ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9674 - val_loss: 0.1741 - val_categorical_accuracy: 0.9441 - 1s/epoch - 7ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1091 - categorical_accuracy: 0.9628 - val_loss: 0.1774 - val_categorical_accuracy: 0.9430 - 1s/epoch - 7ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1573 - categorical_accuracy: 0.9501 - val_loss: 0.1885 - val_categorical_accuracy: 0.9366 - 1s/epoch - 7ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0945 - categorical_accuracy: 0.9682 - val_loss: 0.1719 - val_categorical_accuracy: 0.9454 - 997ms/epoch - 7ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0980 - categorical_accuracy: 0.9666 - val_loss: 0.1769 - val_categorical_accuracy: 0.9440 - 949ms/epoch - 7ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1245 - categorical_accuracy: 0.9596 - val_loss: 0.1826 - val_categorical_accuracy: 0.9393 - 838ms/epoch - 6ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0945 - categorical_accuracy: 0.9676 - val_loss: 0.1819 - val_categorical_accuracy: 0.9412 - 860ms/epoch - 6ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9653 - val_loss: 0.1921 - val_categorical_accuracy: 0.9386 - 1s/epoch - 7ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1240 - categorical_accuracy: 0.9602 - val_loss: 0.1568 - val_categorical_accuracy: 0.9492 - 947ms/epoch - 7ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9688 - val_loss: 0.1834 - val_categorical_accuracy: 0.9414 - 868ms/epoch - 6ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9667 - val_loss: 0.1872 - val_categorical_accuracy: 0.9406 - 890ms/epoch - 6ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0998 - categorical_accuracy: 0.9658 - val_loss: 0.2054 - val_categorical_accuracy: 0.9344 - 1s/epoch - 7ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1078 - categorical_accuracy: 0.9639 - val_loss: 0.1711 - val_categorical_accuracy: 0.9453 - 875ms/epoch - 6ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9682 - val_loss: 0.1705 - val_categorical_accuracy: 0.9458 - 863ms/epoch - 6ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1004 - categorical_accuracy: 0.9663 - val_loss: 0.6712 - val_categorical_accuracy: 0.8299 - 1s/epoch - 7ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1184 - categorical_accuracy: 0.9627 - val_loss: 0.3578 - val_categorical_accuracy: 0.8960 - 1s/epoch - 7ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9667 - val_loss: 0.1603 - val_categorical_accuracy: 0.9502 - 1s/epoch - 7ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9666 - val_loss: 0.1746 - val_categorical_accuracy: 0.9455 - 981ms/epoch - 7ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9693 - val_loss: 0.1616 - val_categorical_accuracy: 0.9503 - 858ms/epoch - 6ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1360 - categorical_accuracy: 0.9570 - val_loss: 0.1804 - val_categorical_accuracy: 0.9416 - 902ms/epoch - 6ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9695 - val_loss: 0.1808 - val_categorical_accuracy: 0.9410 - 760ms/epoch - 5ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1128 - categorical_accuracy: 0.9632 - val_loss: 0.1768 - val_categorical_accuracy: 0.9450 - 744ms/epoch - 5ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0824 - categorical_accuracy: 0.9718 - val_loss: 0.1648 - val_categorical_accuracy: 0.9483 - 823ms/epoch - 6ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9702 - val_loss: 0.2448 - val_categorical_accuracy: 0.9232 - 995ms/epoch - 7ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0977 - categorical_accuracy: 0.9665 - val_loss: 0.1678 - val_categorical_accuracy: 0.9470 - 997ms/epoch - 7ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9699 - val_loss: 0.1600 - val_categorical_accuracy: 0.9503 - 985ms/epoch - 7ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9631 - val_loss: 0.1847 - val_categorical_accuracy: 0.9426 - 1s/epoch - 7ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9721 - val_loss: 0.1670 - val_categorical_accuracy: 0.9493 - 961ms/epoch - 7ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9730 - val_loss: 0.2025 - val_categorical_accuracy: 0.9415 - 873ms/epoch - 6ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.2345 - categorical_accuracy: 0.9313 - val_loss: 0.1816 - val_categorical_accuracy: 0.9423 - 928ms/epoch - 7ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9715 - val_loss: 0.1639 - val_categorical_accuracy: 0.9472 - 1s/epoch - 7ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0844 - categorical_accuracy: 0.9712 - val_loss: 0.1780 - val_categorical_accuracy: 0.9432 - 987ms/epoch - 7ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9709 - val_loss: 0.1591 - val_categorical_accuracy: 0.9495 - 986ms/epoch - 7ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0938 - categorical_accuracy: 0.9683 - val_loss: 0.1883 - val_categorical_accuracy: 0.9407 - 1s/epoch - 7ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9677 - val_loss: 0.1674 - val_categorical_accuracy: 0.9487 - 972ms/epoch - 7ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1234 - categorical_accuracy: 0.9617 - val_loss: 0.1577 - val_categorical_accuracy: 0.9508 - 967ms/epoch - 7ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0814 - categorical_accuracy: 0.9722 - val_loss: 0.1537 - val_categorical_accuracy: 0.9539 - 869ms/epoch - 6ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0946 - categorical_accuracy: 0.9681 - val_loss: 0.1741 - val_categorical_accuracy: 0.9457 - 884ms/epoch - 6ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9748 - val_loss: 0.1792 - val_categorical_accuracy: 0.9467 - 1s/epoch - 7ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9732 - val_loss: 0.1826 - val_categorical_accuracy: 0.9453 - 1s/epoch - 7ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9731 - val_loss: 0.1748 - val_categorical_accuracy: 0.9459 - 949ms/epoch - 7ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0796 - categorical_accuracy: 0.9728 - val_loss: 0.1648 - val_categorical_accuracy: 0.9498 - 828ms/epoch - 6ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1421 - categorical_accuracy: 0.9569 - val_loss: 0.1554 - val_categorical_accuracy: 0.9531 - 856ms/epoch - 6ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9740 - val_loss: 0.1922 - val_categorical_accuracy: 0.9431 - 1s/epoch - 7ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0969 - categorical_accuracy: 0.9681 - val_loss: 0.1612 - val_categorical_accuracy: 0.9510 - 992ms/epoch - 7ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9735 - val_loss: 0.1710 - val_categorical_accuracy: 0.9485 - 854ms/epoch - 6ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0826 - categorical_accuracy: 0.9719 - val_loss: 0.1884 - val_categorical_accuracy: 0.9438 - 884ms/epoch - 6ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9732 - val_loss: 0.1615 - val_categorical_accuracy: 0.9502 - 1s/epoch - 7ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9738 - val_loss: 0.2008 - val_categorical_accuracy: 0.9366 - 1s/epoch - 7ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9736 - val_loss: 0.7422 - val_categorical_accuracy: 0.8170 - 979ms/epoch - 7ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0957 - categorical_accuracy: 0.9694 - val_loss: 0.2262 - val_categorical_accuracy: 0.9314 - 985ms/epoch - 7ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9740 - val_loss: 0.1662 - val_categorical_accuracy: 0.9511 - 1s/epoch - 7ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9728 - val_loss: 0.1586 - val_categorical_accuracy: 0.9537 - 1s/epoch - 7ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.1038 - categorical_accuracy: 0.9675 - val_loss: 0.1656 - val_categorical_accuracy: 0.9476 - 998ms/epoch - 7ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9741 - val_loss: 0.1639 - val_categorical_accuracy: 0.9505 - 1s/epoch - 7ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9758 - val_loss: 0.1572 - val_categorical_accuracy: 0.9531 - 998ms/epoch - 7ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.1619 - categorical_accuracy: 0.9516 - val_loss: 0.2054 - val_categorical_accuracy: 0.9325 - 930ms/epoch - 7ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0819 - categorical_accuracy: 0.9721 - val_loss: 0.1775 - val_categorical_accuracy: 0.9458 - 944ms/epoch - 7ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9745 - val_loss: 0.1643 - val_categorical_accuracy: 0.9517 - 1s/epoch - 7ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9761 - val_loss: 0.2111 - val_categorical_accuracy: 0.9417 - 982ms/epoch - 7ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9728 - val_loss: 0.1779 - val_categorical_accuracy: 0.9453 - 1s/epoch - 7ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9748 - val_loss: 0.1758 - val_categorical_accuracy: 0.9489 - 1s/epoch - 7ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.1162 - categorical_accuracy: 0.9638 - val_loss: 0.1567 - val_categorical_accuracy: 0.9529 - 1s/epoch - 7ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9771 - val_loss: 0.1589 - val_categorical_accuracy: 0.9525 - 1s/epoch - 7ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9766 - val_loss: 0.1708 - val_categorical_accuracy: 0.9492 - 1s/epoch - 7ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9756 - val_loss: 0.1610 - val_categorical_accuracy: 0.9519 - 802ms/epoch - 6ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9753 - val_loss: 0.1564 - val_categorical_accuracy: 0.9537 - 736ms/epoch - 5ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0712 - categorical_accuracy: 0.9755 - val_loss: 0.1703 - val_categorical_accuracy: 0.9512 - 812ms/epoch - 6ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0923 - categorical_accuracy: 0.9699 - val_loss: 0.1518 - val_categorical_accuracy: 0.9566 - 952ms/epoch - 7ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9773 - val_loss: 0.2721 - val_categorical_accuracy: 0.9245 - 1s/epoch - 7ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9759 - val_loss: 0.2007 - val_categorical_accuracy: 0.9407 - 1s/epoch - 8ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0828 - categorical_accuracy: 0.9720 - val_loss: 0.1613 - val_categorical_accuracy: 0.9514 - 1s/epoch - 8ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.1105 - categorical_accuracy: 0.9662 - val_loss: 0.1672 - val_categorical_accuracy: 0.9471 - 1s/epoch - 7ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9769 - val_loss: 0.1564 - val_categorical_accuracy: 0.9547 - 1s/epoch - 8ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9775 - val_loss: 0.1662 - val_categorical_accuracy: 0.9516 - 955ms/epoch - 7ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9759 - val_loss: 0.1810 - val_categorical_accuracy: 0.9475 - 826ms/epoch - 6ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9710 - val_loss: 0.1912 - val_categorical_accuracy: 0.9439 - 828ms/epoch - 6ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9742 - val_loss: 0.1866 - val_categorical_accuracy: 0.9472 - 892ms/epoch - 6ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9785 - val_loss: 0.1764 - val_categorical_accuracy: 0.9498 - 838ms/epoch - 6ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9769 - val_loss: 0.1591 - val_categorical_accuracy: 0.9549 - 1s/epoch - 7ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9736 - val_loss: 0.7990 - val_categorical_accuracy: 0.8040 - 912ms/epoch - 6ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9736 - val_loss: 0.1731 - val_categorical_accuracy: 0.9511 - 772ms/epoch - 5ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9751 - val_loss: 0.1672 - val_categorical_accuracy: 0.9514 - 848ms/epoch - 6ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9747 - val_loss: 0.1629 - val_categorical_accuracy: 0.9521 - 904ms/epoch - 6ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9780 - val_loss: 0.1701 - val_categorical_accuracy: 0.9512 - 968ms/epoch - 7ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9767 - val_loss: 0.1727 - val_categorical_accuracy: 0.9514 - 1s/epoch - 7ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9778 - val_loss: 0.1664 - val_categorical_accuracy: 0.9530 - 1s/epoch - 7ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9786 - val_loss: 0.1620 - val_categorical_accuracy: 0.9534 - 1s/epoch - 7ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.1111 - categorical_accuracy: 0.9668 - val_loss: 0.1987 - val_categorical_accuracy: 0.9365 - 991ms/epoch - 7ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9761 - val_loss: 0.1641 - val_categorical_accuracy: 0.9525 - 928ms/epoch - 7ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9746 - val_loss: 0.1611 - val_categorical_accuracy: 0.9540 - 906ms/epoch - 6ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9790 - val_loss: 0.1776 - val_categorical_accuracy: 0.9481 - 951ms/epoch - 7ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.1191 - categorical_accuracy: 0.9642 - val_loss: 0.1610 - val_categorical_accuracy: 0.9534 - 917ms/epoch - 7ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9785 - val_loss: 0.1666 - val_categorical_accuracy: 0.9532 - 776ms/epoch - 6ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9786 - val_loss: 0.1664 - val_categorical_accuracy: 0.9507 - 828ms/epoch - 6ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9735 - val_loss: 0.1561 - val_categorical_accuracy: 0.9555 - 868ms/epoch - 6ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9782 - val_loss: 0.1618 - val_categorical_accuracy: 0.9538 - 976ms/epoch - 7ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9753 - val_loss: 0.1750 - val_categorical_accuracy: 0.9495 - 976ms/epoch - 7ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9787 - val_loss: 0.1701 - val_categorical_accuracy: 0.9529 - 1s/epoch - 7ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9755 - val_loss: 0.1771 - val_categorical_accuracy: 0.9526 - 988ms/epoch - 7ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9748 - val_loss: 0.1653 - val_categorical_accuracy: 0.9542 - 992ms/epoch - 7ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9797 - val_loss: 0.1699 - val_categorical_accuracy: 0.9532 - 892ms/epoch - 6ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.1022 - categorical_accuracy: 0.9685 - val_loss: 0.1589 - val_categorical_accuracy: 0.9540 - 823ms/epoch - 6ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9793 - val_loss: 0.1781 - val_categorical_accuracy: 0.9498 - 791ms/epoch - 6ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9786 - val_loss: 0.1613 - val_categorical_accuracy: 0.9547 - 914ms/epoch - 6ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9785 - val_loss: 0.1831 - val_categorical_accuracy: 0.9500 - 784ms/epoch - 6ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9762 - val_loss: 0.1722 - val_categorical_accuracy: 0.9505 - 890ms/epoch - 6ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9793 - val_loss: 0.1662 - val_categorical_accuracy: 0.9550 - 940ms/epoch - 7ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9739 - val_loss: 0.1666 - val_categorical_accuracy: 0.9547 - 939ms/epoch - 7ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9716 - val_loss: 0.1534 - val_categorical_accuracy: 0.9568 - 816ms/epoch - 6ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9800 - val_loss: 0.1716 - val_categorical_accuracy: 0.9524 - 928ms/epoch - 7ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9798 - val_loss: 0.1650 - val_categorical_accuracy: 0.9556 - 1s/epoch - 7ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9717 - val_loss: 0.1669 - val_categorical_accuracy: 0.9524 - 985ms/epoch - 7ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9797 - val_loss: 0.1979 - val_categorical_accuracy: 0.9454 - 880ms/epoch - 6ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9799 - val_loss: 0.1608 - val_categorical_accuracy: 0.9567 - 869ms/epoch - 6ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9690 - val_loss: 0.1575 - val_categorical_accuracy: 0.9543 - 908ms/epoch - 6ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9804 - val_loss: 0.1696 - val_categorical_accuracy: 0.9502 - 992ms/epoch - 7ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9804 - val_loss: 0.1780 - val_categorical_accuracy: 0.9533 - 1s/epoch - 7ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0923 - categorical_accuracy: 0.9709 - val_loss: 0.1605 - val_categorical_accuracy: 0.9545 - 972ms/epoch - 7ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9803 - val_loss: 0.1625 - val_categorical_accuracy: 0.9560 - 960ms/epoch - 7ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9806 - val_loss: 0.1691 - val_categorical_accuracy: 0.9535 - 968ms/epoch - 7ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9782 - val_loss: 0.2010 - val_categorical_accuracy: 0.9471 - 964ms/epoch - 7ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9780 - val_loss: 0.1767 - val_categorical_accuracy: 0.9502 - 988ms/epoch - 7ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9796 - val_loss: 0.1674 - val_categorical_accuracy: 0.9536 - 1s/epoch - 7ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9787 - val_loss: 0.1792 - val_categorical_accuracy: 0.9513 - 988ms/epoch - 7ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9746 - val_loss: 0.1636 - val_categorical_accuracy: 0.9544 - 988ms/epoch - 7ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9795 - val_loss: 0.2136 - val_categorical_accuracy: 0.9410 - 920ms/epoch - 7ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9801 - val_loss: 0.1959 - val_categorical_accuracy: 0.9471 - 776ms/epoch - 6ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9727 - val_loss: 0.1641 - val_categorical_accuracy: 0.9545 - 852ms/epoch - 6ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9807 - val_loss: 0.1829 - val_categorical_accuracy: 0.9512 - 976ms/epoch - 7ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9797 - val_loss: 0.1798 - val_categorical_accuracy: 0.9526 - 992ms/epoch - 7ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9739 - val_loss: 0.1738 - val_categorical_accuracy: 0.9493 - 968ms/epoch - 7ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9813 - val_loss: 0.1627 - val_categorical_accuracy: 0.9565 - 952ms/epoch - 7ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0901 - categorical_accuracy: 0.9711 - val_loss: 0.1691 - val_categorical_accuracy: 0.9520 - 980ms/epoch - 7ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9803 - val_loss: 0.1682 - val_categorical_accuracy: 0.9548 - 1s/epoch - 7ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9799 - val_loss: 0.1972 - val_categorical_accuracy: 0.9507 - 1s/epoch - 7ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9808 - val_loss: 0.1677 - val_categorical_accuracy: 0.9550 - 812ms/epoch - 6ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9794 - val_loss: 0.1895 - val_categorical_accuracy: 0.9476 - 902ms/epoch - 6ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.1183 - categorical_accuracy: 0.9668 - val_loss: 0.5021 - val_categorical_accuracy: 0.8279 - 804ms/epoch - 6ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0909 - categorical_accuracy: 0.9687 - val_loss: 0.1615 - val_categorical_accuracy: 0.9549 - 932ms/epoch - 7ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9804 - val_loss: 0.1610 - val_categorical_accuracy: 0.9561 - 992ms/epoch - 7ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9812 - val_loss: 0.1658 - val_categorical_accuracy: 0.9569 - 980ms/epoch - 7ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9809 - val_loss: 0.2253 - val_categorical_accuracy: 0.9375 - 972ms/epoch - 7ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9782 - val_loss: 0.1913 - val_categorical_accuracy: 0.9488 - 980ms/epoch - 7ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0847 - categorical_accuracy: 0.9734 - val_loss: 0.1574 - val_categorical_accuracy: 0.9571 - 988ms/epoch - 7ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9810 - val_loss: 0.1848 - val_categorical_accuracy: 0.9497 - 976ms/epoch - 7ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9755 - val_loss: 0.4017 - val_categorical_accuracy: 0.8887 - 997ms/epoch - 7ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9768 - val_loss: 0.1635 - val_categorical_accuracy: 0.9534 - 990ms/epoch - 7ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9817 - val_loss: 0.1910 - val_categorical_accuracy: 0.9499 - 981ms/epoch - 7ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9807 - val_loss: 0.1774 - val_categorical_accuracy: 0.9528 - 1s/epoch - 7ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9740 - val_loss: 0.1678 - val_categorical_accuracy: 0.9512 - 996ms/epoch - 7ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9811 - val_loss: 0.1680 - val_categorical_accuracy: 0.9561 - 988ms/epoch - 7ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9819 - val_loss: 0.1639 - val_categorical_accuracy: 0.9574 - 1s/epoch - 7ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9806 - val_loss: 0.1725 - val_categorical_accuracy: 0.9535 - 984ms/epoch - 7ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1927 - val_categorical_accuracy: 0.9496 - 984ms/epoch - 7ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9713 - val_loss: 0.1691 - val_categorical_accuracy: 0.9510 - 1s/epoch - 7ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9796 - val_loss: 0.1786 - val_categorical_accuracy: 0.9541 - 992ms/epoch - 7ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.1706 - val_categorical_accuracy: 0.9557 - 980ms/epoch - 7ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9818 - val_loss: 0.1679 - val_categorical_accuracy: 0.9567 - 969ms/epoch - 7ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9812 - val_loss: 0.1776 - val_categorical_accuracy: 0.9532 - 1s/epoch - 7ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9811 - val_loss: 0.2011 - val_categorical_accuracy: 0.9444 - 960ms/epoch - 7ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0997 - categorical_accuracy: 0.9698 - val_loss: 0.1661 - val_categorical_accuracy: 0.9525 - 980ms/epoch - 7ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.1640 - val_categorical_accuracy: 0.9575 - 1s/epoch - 7ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9813 - val_loss: 0.1846 - val_categorical_accuracy: 0.9487 - 980ms/epoch - 7ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9819 - val_loss: 0.1789 - val_categorical_accuracy: 0.9529 - 993ms/epoch - 7ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.1151 - categorical_accuracy: 0.9654 - val_loss: 0.1792 - val_categorical_accuracy: 0.9486 - 1s/epoch - 7ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9810 - val_loss: 0.1628 - val_categorical_accuracy: 0.9559 - 1s/epoch - 7ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9822 - val_loss: 0.1684 - val_categorical_accuracy: 0.9566 - 990ms/epoch - 7ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9821 - val_loss: 0.1766 - val_categorical_accuracy: 0.9534 - 994ms/epoch - 7ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9803 - val_loss: 0.1629 - val_categorical_accuracy: 0.9575 - 990ms/epoch - 7ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9746 - val_loss: 0.1833 - val_categorical_accuracy: 0.9471 - 990ms/epoch - 7ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9812 - val_loss: 0.1736 - val_categorical_accuracy: 0.9518 - 970ms/epoch - 7ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.1824 - val_categorical_accuracy: 0.9497 - 964ms/epoch - 7ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.1665 - val_categorical_accuracy: 0.9568 - 1s/epoch - 7ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9812 - val_loss: 0.1641 - val_categorical_accuracy: 0.9577 - 1s/epoch - 7ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9821 - val_loss: 0.1940 - val_categorical_accuracy: 0.9503 - 980ms/epoch - 7ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9770 - val_loss: 0.1695 - val_categorical_accuracy: 0.9552 - 974ms/epoch - 7ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9813 - val_loss: 0.2136 - val_categorical_accuracy: 0.9409 - 966ms/epoch - 7ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9694 - val_loss: 0.1706 - val_categorical_accuracy: 0.9529 - 974ms/epoch - 7ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1576 - val_categorical_accuracy: 0.9576 - 976ms/epoch - 7ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1639 - val_categorical_accuracy: 0.9576 - 960ms/epoch - 7ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9820 - val_loss: 0.1798 - val_categorical_accuracy: 0.9528 - 980ms/epoch - 7ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9808 - val_loss: 0.1667 - val_categorical_accuracy: 0.9579 - 950ms/epoch - 7ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1652 - val_categorical_accuracy: 0.9582 - 955ms/epoch - 7ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9774 - val_loss: 0.1610 - val_categorical_accuracy: 0.9572 - 990ms/epoch - 7ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9819 - val_loss: 0.1703 - val_categorical_accuracy: 0.9560 - 954ms/epoch - 7ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.2134 - val_categorical_accuracy: 0.9428 - 960ms/epoch - 7ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9747 - val_loss: 0.1666 - val_categorical_accuracy: 0.9544 - 974ms/epoch - 7ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1685 - val_categorical_accuracy: 0.9568 - 960ms/epoch - 7ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1609 - val_categorical_accuracy: 0.9576 - 950ms/epoch - 7ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.1617 - val_categorical_accuracy: 0.9600 - 950ms/epoch - 7ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9824 - val_loss: 0.1608 - val_categorical_accuracy: 0.9601 - 920ms/epoch - 7ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9807 - val_loss: 0.1723 - val_categorical_accuracy: 0.9559 - 910ms/epoch - 6ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9810 - val_loss: 0.1918 - val_categorical_accuracy: 0.9514 - 960ms/epoch - 7ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9815 - val_loss: 0.2082 - val_categorical_accuracy: 0.9512 - 920ms/epoch - 7ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9811 - val_loss: 0.1647 - val_categorical_accuracy: 0.9579 - 965ms/epoch - 7ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9821 - val_loss: 0.1855 - val_categorical_accuracy: 0.9524 - 938ms/epoch - 7ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.1032 - categorical_accuracy: 0.9693 - val_loss: 0.1647 - val_categorical_accuracy: 0.9572 - 940ms/epoch - 7ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9814 - val_loss: 0.1802 - val_categorical_accuracy: 0.9523 - 920ms/epoch - 7ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9828 - val_loss: 0.1701 - val_categorical_accuracy: 0.9562 - 977ms/epoch - 7ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1815 - val_categorical_accuracy: 0.9528 - 916ms/epoch - 6ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9823 - val_loss: 0.1877 - val_categorical_accuracy: 0.9507 - 972ms/epoch - 7ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9819 - val_loss: 0.1713 - val_categorical_accuracy: 0.9563 - 916ms/epoch - 6ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9754 - val_loss: 0.1709 - val_categorical_accuracy: 0.9540 - 988ms/epoch - 7ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9832 - val_loss: 0.1647 - val_categorical_accuracy: 0.9585 - 984ms/epoch - 7ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9824 - val_loss: 0.1644 - val_categorical_accuracy: 0.9569 - 916ms/epoch - 6ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9828 - val_loss: 0.1672 - val_categorical_accuracy: 0.9571 - 936ms/epoch - 7ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9814 - val_loss: 0.1877 - val_categorical_accuracy: 0.9511 - 936ms/epoch - 7ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9786 - val_loss: 0.1689 - val_categorical_accuracy: 0.9553 - 908ms/epoch - 6ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1641 - val_categorical_accuracy: 0.9592 - 964ms/epoch - 7ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.1817 - val_categorical_accuracy: 0.9555 - 928ms/epoch - 7ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1807 - val_categorical_accuracy: 0.9555 - 972ms/epoch - 7ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.2312 - val_categorical_accuracy: 0.9422 - 924ms/epoch - 7ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1867 - val_categorical_accuracy: 0.9516 - 924ms/epoch - 7ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0867 - categorical_accuracy: 0.9743 - val_loss: 0.2551 - val_categorical_accuracy: 0.9211 - 984ms/epoch - 7ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9789 - val_loss: 0.1722 - val_categorical_accuracy: 0.9554 - 928ms/epoch - 7ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.2102 - val_categorical_accuracy: 0.9435 - 984ms/epoch - 7ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9822 - val_loss: 0.1678 - val_categorical_accuracy: 0.9584 - 948ms/epoch - 7ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0862 - categorical_accuracy: 0.9739 - val_loss: 0.1631 - val_categorical_accuracy: 0.9560 - 980ms/epoch - 7ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9834 - val_loss: 0.1664 - val_categorical_accuracy: 0.9590 - 928ms/epoch - 7ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9833 - val_loss: 0.1691 - val_categorical_accuracy: 0.9582 - 972ms/epoch - 7ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9794 - val_loss: 0.1703 - val_categorical_accuracy: 0.9577 - 928ms/epoch - 7ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9827 - val_loss: 0.1769 - val_categorical_accuracy: 0.9567 - 920ms/epoch - 7ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9827 - val_loss: 0.1684 - val_categorical_accuracy: 0.9596 - 960ms/epoch - 7ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9830 - val_loss: 0.1776 - val_categorical_accuracy: 0.9562 - 932ms/epoch - 7ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9830 - val_loss: 0.1768 - val_categorical_accuracy: 0.9561 - 985ms/epoch - 7ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9834 - val_loss: 0.1706 - val_categorical_accuracy: 0.9597 - 932ms/epoch - 7ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9810 - val_loss: 0.2001 - val_categorical_accuracy: 0.9500 - 984ms/epoch - 7ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9825 - val_loss: 0.1865 - val_categorical_accuracy: 0.9517 - 924ms/epoch - 7ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.1852 - val_categorical_accuracy: 0.9545 - 976ms/epoch - 7ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1757 - val_categorical_accuracy: 0.9564 - 924ms/epoch - 7ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9803 - val_loss: 0.1830 - val_categorical_accuracy: 0.9525 - 975ms/epoch - 7ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1717 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.1830 - val_categorical_accuracy: 0.9539 - 954ms/epoch - 7ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9832 - val_loss: 0.1751 - val_categorical_accuracy: 0.9563 - 950ms/epoch - 7ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9834 - val_loss: 0.1761 - val_categorical_accuracy: 0.9568 - 940ms/epoch - 7ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9830 - val_loss: 0.1843 - val_categorical_accuracy: 0.9539 - 930ms/epoch - 7ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.1032 - categorical_accuracy: 0.9697 - val_loss: 0.2285 - val_categorical_accuracy: 0.9265 - 959ms/epoch - 7ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9798 - val_loss: 0.1857 - val_categorical_accuracy: 0.9545 - 946ms/epoch - 7ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9838 - val_loss: 0.1657 - val_categorical_accuracy: 0.9593 - 940ms/epoch - 7ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1842 - val_categorical_accuracy: 0.9564 - 960ms/epoch - 7ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1779 - val_categorical_accuracy: 0.9546 - 920ms/epoch - 7ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9832 - val_loss: 0.1750 - val_categorical_accuracy: 0.9562 - 980ms/epoch - 7ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9836 - val_loss: 0.1734 - val_categorical_accuracy: 0.9576 - 910ms/epoch - 6ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.1366 - categorical_accuracy: 0.9603 - val_loss: 0.1705 - val_categorical_accuracy: 0.9534 - 974ms/epoch - 7ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9823 - val_loss: 0.1677 - val_categorical_accuracy: 0.9579 - 920ms/epoch - 7ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9840 - val_loss: 0.1639 - val_categorical_accuracy: 0.9595 - 974ms/epoch - 7ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1697 - val_categorical_accuracy: 0.9579 - 960ms/epoch - 7ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9772 - val_loss: 0.1681 - val_categorical_accuracy: 0.9572 - 970ms/epoch - 7ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9830 - val_loss: 0.1763 - val_categorical_accuracy: 0.9561 - 930ms/epoch - 7ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.1734 - val_categorical_accuracy: 0.9586 - 984ms/epoch - 7ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.1773 - val_categorical_accuracy: 0.9544 - 920ms/epoch - 7ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.1806 - val_categorical_accuracy: 0.9554 - 974ms/epoch - 7ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9812 - val_loss: 0.2109 - val_categorical_accuracy: 0.9511 - 930ms/epoch - 7ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2603 - val_categorical_accuracy: 0.9445 - 940ms/epoch - 7ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.1731 - val_categorical_accuracy: 0.9594 - 930ms/epoch - 7ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.1834 - val_categorical_accuracy: 0.9566 - 940ms/epoch - 7ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9843 - val_loss: 0.1692 - val_categorical_accuracy: 0.9605 - 960ms/epoch - 7ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.1802 - val_categorical_accuracy: 0.9573 - 930ms/epoch - 7ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.1381 - categorical_accuracy: 0.9601 - val_loss: 0.1566 - val_categorical_accuracy: 0.9570 - 944ms/epoch - 7ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9835 - val_loss: 0.1650 - val_categorical_accuracy: 0.9590 - 940ms/epoch - 7ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.1672 - val_categorical_accuracy: 0.9590 - 974ms/epoch - 7ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1691 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9749 - val_loss: 0.1598 - val_categorical_accuracy: 0.9586 - 970ms/epoch - 7ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.1742 - val_categorical_accuracy: 0.9578 - 924ms/epoch - 7ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.1803 - val_categorical_accuracy: 0.9570 - 968ms/epoch - 7ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1739 - val_categorical_accuracy: 0.9568 - 928ms/epoch - 7ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1671 - val_categorical_accuracy: 0.9596 - 973ms/epoch - 7ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.1712 - val_categorical_accuracy: 0.9599 - 920ms/epoch - 7ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9832 - val_loss: 0.1671 - val_categorical_accuracy: 0.9598 - 948ms/epoch - 7ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0815 - categorical_accuracy: 0.9744 - val_loss: 0.1842 - val_categorical_accuracy: 0.9521 - 968ms/epoch - 7ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.1797 - val_categorical_accuracy: 0.9543 - 924ms/epoch - 7ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.1700 - val_categorical_accuracy: 0.9582 - 972ms/epoch - 7ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1850 - val_categorical_accuracy: 0.9555 - 936ms/epoch - 7ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9837 - val_loss: 0.1713 - val_categorical_accuracy: 0.9588 - 977ms/epoch - 7ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1722 - val_categorical_accuracy: 0.9587 - 1s/epoch - 8ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9650 - val_loss: 0.1785 - val_categorical_accuracy: 0.9519 - 996ms/epoch - 7ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9843 - val_loss: 0.1732 - val_categorical_accuracy: 0.9589 - 937ms/epoch - 7ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.1758 - val_categorical_accuracy: 0.9572 - 964ms/epoch - 7ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9848 - val_loss: 0.1756 - val_categorical_accuracy: 0.9568 - 936ms/epoch - 7ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1758 - val_categorical_accuracy: 0.9566 - 992ms/epoch - 7ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1928 - val_categorical_accuracy: 0.9527 - 948ms/epoch - 7ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9828 - val_loss: 0.1936 - val_categorical_accuracy: 0.9522 - 1s/epoch - 7ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9837 - val_loss: 0.1774 - val_categorical_accuracy: 0.9580 - 964ms/epoch - 7ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.1769 - val_categorical_accuracy: 0.9584 - 944ms/epoch - 7ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9840 - val_loss: 0.1849 - val_categorical_accuracy: 0.9552 - 940ms/epoch - 7ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.1746 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1748 - val_categorical_accuracy: 0.9578 - 936ms/epoch - 7ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1875 - val_categorical_accuracy: 0.9549 - 992ms/epoch - 7ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9828 - val_loss: 0.1772 - val_categorical_accuracy: 0.9580 - 936ms/epoch - 7ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.1774 - val_categorical_accuracy: 0.9561 - 976ms/epoch - 7ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.1898 - val_categorical_accuracy: 0.9542 - 948ms/epoch - 7ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9741 - val_loss: 0.1793 - val_categorical_accuracy: 0.9569 - 980ms/epoch - 7ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9852 - val_loss: 0.1683 - val_categorical_accuracy: 0.9591 - 956ms/epoch - 7ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.1832 - val_categorical_accuracy: 0.9551 - 985ms/epoch - 7ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9841 - val_loss: 0.1686 - val_categorical_accuracy: 0.9603 - 930ms/epoch - 7ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9803 - val_loss: 0.1863 - val_categorical_accuracy: 0.9542 - 984ms/epoch - 7ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.1795 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1737 - val_categorical_accuracy: 0.9589 - 980ms/epoch - 7ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9843 - val_loss: 0.1764 - val_categorical_accuracy: 0.9599 - 950ms/epoch - 7ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1894 - val_categorical_accuracy: 0.9552 - 990ms/epoch - 7ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9734 - val_loss: 0.1845 - val_categorical_accuracy: 0.9515 - 950ms/epoch - 7ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9846 - val_loss: 0.1763 - val_categorical_accuracy: 0.9566 - 990ms/epoch - 7ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1755 - val_categorical_accuracy: 0.9593 - 960ms/epoch - 7ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1765 - val_categorical_accuracy: 0.9563 - 940ms/epoch - 7ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9771 - val_loss: 0.1724 - val_categorical_accuracy: 0.9567 - 970ms/epoch - 7ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.1718 - val_categorical_accuracy: 0.9597 - 960ms/epoch - 7ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.1778 - val_categorical_accuracy: 0.9596 - 970ms/epoch - 7ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.1758 - val_categorical_accuracy: 0.9595 - 940ms/epoch - 7ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9820 - val_loss: 0.1694 - val_categorical_accuracy: 0.9600 - 970ms/epoch - 7ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1950 - val_categorical_accuracy: 0.9511 - 930ms/epoch - 7ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.1935 - val_categorical_accuracy: 0.9535 - 980ms/epoch - 7ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1852 - val_categorical_accuracy: 0.9558 - 950ms/epoch - 7ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.2001 - val_categorical_accuracy: 0.9500 - 970ms/epoch - 7ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9846 - val_loss: 0.1832 - val_categorical_accuracy: 0.9571 - 930ms/epoch - 7ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1764 - val_categorical_accuracy: 0.9587 - 984ms/epoch - 7ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.1801 - val_categorical_accuracy: 0.9590 - 980ms/epoch - 7ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9819 - val_loss: 0.1885 - val_categorical_accuracy: 0.9533 - 934ms/epoch - 7ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9849 - val_loss: 0.1904 - val_categorical_accuracy: 0.9541 - 940ms/epoch - 7ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.1870 - val_categorical_accuracy: 0.9564 - 980ms/epoch - 7ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1879 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9837 - val_loss: 0.1834 - val_categorical_accuracy: 0.9568 - 954ms/epoch - 7ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.1768 - val_categorical_accuracy: 0.9594 - 960ms/epoch - 7ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1797 - val_categorical_accuracy: 0.9583 - 950ms/epoch - 7ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9845 - val_loss: 0.1826 - val_categorical_accuracy: 0.9579 - 940ms/epoch - 7ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.1375 - categorical_accuracy: 0.9613 - val_loss: 0.1701 - val_categorical_accuracy: 0.9588 - 950ms/epoch - 7ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9850 - val_loss: 0.1714 - val_categorical_accuracy: 0.9598 - 960ms/epoch - 7ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1839 - val_categorical_accuracy: 0.9565 - 936ms/epoch - 7ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.2028 - val_categorical_accuracy: 0.9502 - 960ms/epoch - 7ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1794 - val_categorical_accuracy: 0.9580 - 976ms/epoch - 7ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9846 - val_loss: 0.2132 - val_categorical_accuracy: 0.9502 - 960ms/epoch - 7ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1711 - val_categorical_accuracy: 0.9604 - 964ms/epoch - 7ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.1791 - val_categorical_accuracy: 0.9575 - 972ms/epoch - 7ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1864 - val_categorical_accuracy: 0.9555 - 952ms/epoch - 7ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1737 - val_categorical_accuracy: 0.9600 - 928ms/epoch - 7ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.1773 - val_categorical_accuracy: 0.9588 - 972ms/epoch - 7ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.1803 - val_categorical_accuracy: 0.9582 - 932ms/epoch - 7ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9843 - val_loss: 0.1825 - val_categorical_accuracy: 0.9575 - 988ms/epoch - 7ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9840 - val_loss: 0.2044 - val_categorical_accuracy: 0.9515 - 928ms/epoch - 7ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1807 - val_categorical_accuracy: 0.9590 - 1000ms/epoch - 7ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.1844 - val_categorical_accuracy: 0.9589 - 936ms/epoch - 7ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.1849 - val_categorical_accuracy: 0.9598 - 992ms/epoch - 7ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1747 - val_categorical_accuracy: 0.9594 - 952ms/epoch - 7ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9760 - val_loss: 0.1763 - val_categorical_accuracy: 0.9563 - 1000ms/epoch - 7ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1851 - val_categorical_accuracy: 0.9582 - 928ms/epoch - 7ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9707 - val_loss: 0.2302 - val_categorical_accuracy: 0.9301 - 992ms/epoch - 7ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9809 - val_loss: 0.1677 - val_categorical_accuracy: 0.9599 - 924ms/epoch - 7ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9858 - val_loss: 0.1749 - val_categorical_accuracy: 0.9595 - 988ms/epoch - 7ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.1766 - val_categorical_accuracy: 0.9581 - 948ms/epoch - 7ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9784 - val_loss: 0.2618 - val_categorical_accuracy: 0.9222 - 980ms/epoch - 7ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.1859 - val_categorical_accuracy: 0.9538 - 948ms/epoch - 7ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1774 - val_categorical_accuracy: 0.9595 - 968ms/epoch - 7ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1760 - val_categorical_accuracy: 0.9590 - 944ms/epoch - 7ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.1758 - val_categorical_accuracy: 0.9598 - 980ms/epoch - 7ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.1861 - val_categorical_accuracy: 0.9572 - 928ms/epoch - 7ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1844 - val_categorical_accuracy: 0.9577 - 992ms/epoch - 7ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1810 - val_categorical_accuracy: 0.9582 - 940ms/epoch - 7ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9839 - val_loss: 0.1893 - val_categorical_accuracy: 0.9571 - 996ms/epoch - 7ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1801 - val_categorical_accuracy: 0.9594 - 974ms/epoch - 7ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1795 - val_categorical_accuracy: 0.9596 - 976ms/epoch - 7ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1975 - val_categorical_accuracy: 0.9545 - 940ms/epoch - 7ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.1817 - val_categorical_accuracy: 0.9578 - 980ms/epoch - 7ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.1788 - val_categorical_accuracy: 0.9589 - 920ms/epoch - 7ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9851 - val_loss: 0.1923 - val_categorical_accuracy: 0.9564 - 910ms/epoch - 6ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9848 - val_loss: 0.2463 - val_categorical_accuracy: 0.9437 - 970ms/epoch - 7ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.1040 - categorical_accuracy: 0.9700 - val_loss: 0.2109 - val_categorical_accuracy: 0.9392 - 954ms/epoch - 7ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1971 - val_categorical_accuracy: 0.9537 - 990ms/epoch - 7ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1791 - val_categorical_accuracy: 0.9565 - 940ms/epoch - 7ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1898 - val_categorical_accuracy: 0.9562 - 940ms/epoch - 7ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1874 - val_categorical_accuracy: 0.9562 - 950ms/epoch - 7ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9855 - val_loss: 0.1812 - val_categorical_accuracy: 0.9579 - 930ms/epoch - 7ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9766 - val_loss: 0.1725 - val_categorical_accuracy: 0.9588 - 940ms/epoch - 7ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1851 - val_categorical_accuracy: 0.9581 - 920ms/epoch - 7ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1824 - val_categorical_accuracy: 0.9578 - 924ms/epoch - 7ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.1744 - val_categorical_accuracy: 0.9593 - 930ms/epoch - 7ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1882 - val_categorical_accuracy: 0.9566 - 984ms/epoch - 7ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1796 - val_categorical_accuracy: 0.9584 - 990ms/epoch - 7ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1992 - val_categorical_accuracy: 0.9543 - 940ms/epoch - 7ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9851 - val_loss: 0.2125 - val_categorical_accuracy: 0.9497 - 960ms/epoch - 7ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1855 - val_categorical_accuracy: 0.9587 - 940ms/epoch - 7ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1885 - val_categorical_accuracy: 0.9571 - 924ms/epoch - 7ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9716 - val_loss: 0.1790 - val_categorical_accuracy: 0.9529 - 950ms/epoch - 7ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.1955 - val_categorical_accuracy: 0.9551 - 930ms/epoch - 7ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1849 - val_categorical_accuracy: 0.9557 - 920ms/epoch - 7ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1770 - val_categorical_accuracy: 0.9598 - 924ms/epoch - 7ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.1790 - val_categorical_accuracy: 0.9597 - 930ms/epoch - 7ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.1845 - val_categorical_accuracy: 0.9580 - 930ms/epoch - 7ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1863 - val_categorical_accuracy: 0.9585 - 930ms/epoch - 7ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1804 - val_categorical_accuracy: 0.9610 - 950ms/epoch - 7ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9648 - val_loss: 0.1903 - val_categorical_accuracy: 0.9465 - 953ms/epoch - 7ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.1727 - val_categorical_accuracy: 0.9600 - 916ms/epoch - 6ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.1846 - val_categorical_accuracy: 0.9556 - 932ms/epoch - 7ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1746 - val_categorical_accuracy: 0.9594 - 924ms/epoch - 7ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1799 - val_categorical_accuracy: 0.9589 - 928ms/epoch - 7ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.1808 - val_categorical_accuracy: 0.9595 - 921ms/epoch - 7ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9851 - val_loss: 0.1726 - val_categorical_accuracy: 0.9609 - 949ms/epoch - 7ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.2014 - val_categorical_accuracy: 0.9542 - 924ms/epoch - 7ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2173 - val_categorical_accuracy: 0.9462 - 917ms/epoch - 7ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9839 - val_loss: 0.1945 - val_categorical_accuracy: 0.9556 - 947ms/epoch - 7ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.1755 - val_categorical_accuracy: 0.9595 - 916ms/epoch - 6ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1793 - val_categorical_accuracy: 0.9599 - 935ms/epoch - 7ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1865 - val_categorical_accuracy: 0.9571 - 928ms/epoch - 7ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.1792 - val_categorical_accuracy: 0.9580 - 924ms/epoch - 7ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1993 - val_categorical_accuracy: 0.9534 - 932ms/epoch - 7ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9852 - val_loss: 0.2016 - val_categorical_accuracy: 0.9527 - 928ms/epoch - 7ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1832 - val_categorical_accuracy: 0.9601 - 944ms/epoch - 7ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9864 - val_loss: 0.1914 - val_categorical_accuracy: 0.9551 - 928ms/epoch - 7ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2084 - val_categorical_accuracy: 0.9527 - 932ms/epoch - 7ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1788 - val_categorical_accuracy: 0.9598 - 936ms/epoch - 7ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9856 - val_loss: 0.2022 - val_categorical_accuracy: 0.9541 - 920ms/epoch - 7ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1839 - val_categorical_accuracy: 0.9591 - 928ms/epoch - 7ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9739 - val_loss: 0.1648 - val_categorical_accuracy: 0.9598 - 936ms/epoch - 7ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1757 - val_categorical_accuracy: 0.9589 - 932ms/epoch - 7ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1786 - val_categorical_accuracy: 0.9608 - 916ms/epoch - 6ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9732 - val_loss: 0.1724 - val_categorical_accuracy: 0.9579 - 912ms/epoch - 6ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1700 - val_categorical_accuracy: 0.9602 - 952ms/epoch - 7ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1711 - val_categorical_accuracy: 0.9602 - 936ms/epoch - 7ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.1798 - val_categorical_accuracy: 0.9579 - 916ms/epoch - 6ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1912 - val_categorical_accuracy: 0.9541 - 948ms/epoch - 7ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1937 - val_categorical_accuracy: 0.9558 - 936ms/epoch - 7ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.1873 - val_categorical_accuracy: 0.9576 - 932ms/epoch - 7ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9834 - val_loss: 0.2019 - val_categorical_accuracy: 0.9535 - 930ms/epoch - 7ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.1876 - val_categorical_accuracy: 0.9583 - 934ms/epoch - 7ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1819 - val_categorical_accuracy: 0.9584 - 926ms/epoch - 7ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.2379 - val_categorical_accuracy: 0.9475 - 910ms/epoch - 6ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2009 - val_categorical_accuracy: 0.9524 - 945ms/epoch - 7ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9856 - val_loss: 0.1909 - val_categorical_accuracy: 0.9572 - 940ms/epoch - 7ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1899 - val_categorical_accuracy: 0.9594 - 945ms/epoch - 7ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1977 - val_categorical_accuracy: 0.9544 - 940ms/epoch - 7ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1904 - val_categorical_accuracy: 0.9569 - 914ms/epoch - 6ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2053 - val_categorical_accuracy: 0.9565 - 910ms/epoch - 6ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1907 - val_categorical_accuracy: 0.9574 - 920ms/epoch - 7ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9837 - val_loss: 2.4970 - val_categorical_accuracy: 0.6908 - 950ms/epoch - 7ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.1250 - categorical_accuracy: 0.9641 - val_loss: 0.1764 - val_categorical_accuracy: 0.9576 - 925ms/epoch - 7ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9855 - val_loss: 0.1846 - val_categorical_accuracy: 0.9574 - 930ms/epoch - 7ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1803 - val_categorical_accuracy: 0.9603 - 954ms/epoch - 7ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9830 - val_loss: 0.1933 - val_categorical_accuracy: 0.9564 - 940ms/epoch - 7ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1939 - val_categorical_accuracy: 0.9553 - 930ms/epoch - 7ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.1781 - val_categorical_accuracy: 0.9584 - 929ms/epoch - 7ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.1827 - val_categorical_accuracy: 0.9584 - 930ms/epoch - 7ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2021 - val_categorical_accuracy: 0.9518 - 920ms/epoch - 7ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1886 - val_categorical_accuracy: 0.9581 - 920ms/epoch - 7ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2039 - val_categorical_accuracy: 0.9532 - 934ms/epoch - 7ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1905 - val_categorical_accuracy: 0.9583 - 920ms/epoch - 7ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.1833 - val_categorical_accuracy: 0.9598 - 920ms/epoch - 7ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1823 - val_categorical_accuracy: 0.9614 - 930ms/epoch - 7ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9834 - val_loss: 0.9883 - val_categorical_accuracy: 0.8187 - 910ms/epoch - 6ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9788 - val_loss: 0.1758 - val_categorical_accuracy: 0.9596 - 930ms/epoch - 7ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1779 - val_categorical_accuracy: 0.9589 - 929ms/epoch - 7ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2095 - val_categorical_accuracy: 0.9555 - 937ms/epoch - 7ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.1824 - val_categorical_accuracy: 0.9594 - 919ms/epoch - 7ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1796 - val_categorical_accuracy: 0.9590 - 916ms/epoch - 6ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1976 - val_categorical_accuracy: 0.9543 - 930ms/epoch - 7ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.1924 - val_categorical_accuracy: 0.9575 - 924ms/epoch - 7ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1939 - val_categorical_accuracy: 0.9587 - 916ms/epoch - 6ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1854 - val_categorical_accuracy: 0.9604 - 944ms/epoch - 7ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9854 - val_loss: 0.1836 - val_categorical_accuracy: 0.9600 - 916ms/epoch - 6ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.1230 - categorical_accuracy: 0.9647 - val_loss: 0.1732 - val_categorical_accuracy: 0.9549 - 928ms/epoch - 7ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9851 - val_loss: 0.1786 - val_categorical_accuracy: 0.9587 - 920ms/epoch - 7ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1835 - val_categorical_accuracy: 0.9565 - 936ms/epoch - 7ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.1830 - val_categorical_accuracy: 0.9579 - 932ms/epoch - 7ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1759 - val_categorical_accuracy: 0.9614 - 934ms/epoch - 7ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1832 - val_categorical_accuracy: 0.9590 - 944ms/epoch - 7ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1816 - val_categorical_accuracy: 0.9604 - 932ms/epoch - 7ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1965 - val_categorical_accuracy: 0.9563 - 912ms/epoch - 6ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9864 - val_loss: 0.1821 - val_categorical_accuracy: 0.9599 - 933ms/epoch - 7ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1852 - val_categorical_accuracy: 0.9596 - 941ms/epoch - 7ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.1251 - categorical_accuracy: 0.9644 - val_loss: 0.1641 - val_categorical_accuracy: 0.9561 - 968ms/epoch - 7ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9849 - val_loss: 0.1983 - val_categorical_accuracy: 0.9531 - 937ms/epoch - 7ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.1757 - val_categorical_accuracy: 0.9603 - 928ms/epoch - 7ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1779 - val_categorical_accuracy: 0.9609 - 920ms/epoch - 7ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.1862 - val_categorical_accuracy: 0.9586 - 932ms/epoch - 7ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.1791 - val_categorical_accuracy: 0.9597 - 964ms/epoch - 7ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.1883 - val_categorical_accuracy: 0.9569 - 912ms/epoch - 6ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1879 - val_categorical_accuracy: 0.9586 - 936ms/epoch - 7ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1910 - val_categorical_accuracy: 0.9564 - 952ms/epoch - 7ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.1847 - val_categorical_accuracy: 0.9581 - 936ms/epoch - 7ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1813 - val_categorical_accuracy: 0.9596 - 944ms/epoch - 7ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1886 - val_categorical_accuracy: 0.9583 - 924ms/epoch - 7ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2194 - val_categorical_accuracy: 0.9514 - 944ms/epoch - 7ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.1926 - val_categorical_accuracy: 0.9584 - 956ms/epoch - 7ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1839 - val_categorical_accuracy: 0.9613 - 963ms/epoch - 7ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1864 - val_categorical_accuracy: 0.9592 - 948ms/epoch - 7ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9859 - val_loss: 0.1866 - val_categorical_accuracy: 0.9607 - 973ms/epoch - 7ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.2149 - val_categorical_accuracy: 0.9498 - 840ms/epoch - 6ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1927 - val_categorical_accuracy: 0.9584 - 952ms/epoch - 7ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.1987 - val_categorical_accuracy: 0.9583 - 758ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.1975 - val_categorical_accuracy: 0.9576 - 740ms/epoch - 5ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9864 - val_loss: 0.1955 - val_categorical_accuracy: 0.9577 - 930ms/epoch - 7ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2079 - val_categorical_accuracy: 0.9530 - 950ms/epoch - 7ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1832 - val_categorical_accuracy: 0.9604 - 750ms/epoch - 5ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1919 - val_categorical_accuracy: 0.9589 - 910ms/epoch - 6ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9860 - val_loss: 0.1851 - val_categorical_accuracy: 0.9606 - 961ms/epoch - 7ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1989 - val_categorical_accuracy: 0.9570 - 780ms/epoch - 6ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2079 - val_categorical_accuracy: 0.9563 - 800ms/epoch - 6ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1844 - val_categorical_accuracy: 0.9619 - 1s/epoch - 7ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9865 - val_loss: 0.1874 - val_categorical_accuracy: 0.9606 - 750ms/epoch - 5ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9747 - val_loss: 0.1982 - val_categorical_accuracy: 0.9471 - 750ms/epoch - 5ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1881 - val_categorical_accuracy: 0.9550 - 850ms/epoch - 6ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1842 - val_categorical_accuracy: 0.9580 - 860ms/epoch - 6ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1808 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9868 - val_loss: 0.1859 - val_categorical_accuracy: 0.9590 - 714ms/epoch - 5ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1804 - val_categorical_accuracy: 0.9603 - 700ms/epoch - 5ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.1952 - val_categorical_accuracy: 0.9577 - 920ms/epoch - 7ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.1957 - val_categorical_accuracy: 0.9587 - 970ms/epoch - 7ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9778 - val_loss: 0.1811 - val_categorical_accuracy: 0.9584 - 950ms/epoch - 7ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.1915 - val_categorical_accuracy: 0.9578 - 910ms/epoch - 6ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1848 - val_categorical_accuracy: 0.9608 - 820ms/epoch - 6ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1807 - val_categorical_accuracy: 0.9617 - 800ms/epoch - 6ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9865 - val_loss: 0.2172 - val_categorical_accuracy: 0.9516 - 950ms/epoch - 7ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.1904 - val_categorical_accuracy: 0.9569 - 950ms/epoch - 7ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.1909 - val_categorical_accuracy: 0.9571 - 950ms/epoch - 7ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9866 - val_loss: 0.2045 - val_categorical_accuracy: 0.9551 - 935ms/epoch - 7ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1911 - val_categorical_accuracy: 0.9594 - 920ms/epoch - 7ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1913 - val_categorical_accuracy: 0.9602 - 954ms/epoch - 7ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.1986 - val_categorical_accuracy: 0.9586 - 926ms/epoch - 7ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2033 - val_categorical_accuracy: 0.9573 - 950ms/epoch - 7ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1866 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1938 - val_categorical_accuracy: 0.9573 - 740ms/epoch - 5ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2087 - val_categorical_accuracy: 0.9566 - 740ms/epoch - 5ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.1932 - val_categorical_accuracy: 0.9603 - 790ms/epoch - 6ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.1971 - val_categorical_accuracy: 0.9594 - 962ms/epoch - 7ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.1915 - val_categorical_accuracy: 0.9602 - 959ms/epoch - 7ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9717 - val_loss: 0.1822 - val_categorical_accuracy: 0.9553 - 949ms/epoch - 7ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1879 - val_categorical_accuracy: 0.9580 - 952ms/epoch - 7ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1895 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1904 - val_categorical_accuracy: 0.9589 - 962ms/epoch - 7ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1867 - val_categorical_accuracy: 0.9606 - 895ms/epoch - 6ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.1348 - categorical_accuracy: 0.9606 - val_loss: 0.1737 - val_categorical_accuracy: 0.9581 - 978ms/epoch - 7ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9868 - val_loss: 0.2033 - val_categorical_accuracy: 0.9529 - 1s/epoch - 7ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1785 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1941 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1963 - val_categorical_accuracy: 0.9582 - 1s/epoch - 7ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.1924 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1969 - val_categorical_accuracy: 0.9565 - 1s/epoch - 7ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1901 - val_categorical_accuracy: 0.9594 - 1s/epoch - 8ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.1824 - val_categorical_accuracy: 0.9612 - 857ms/epoch - 6ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2007 - val_categorical_accuracy: 0.9552 - 798ms/epoch - 6ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.2025 - val_categorical_accuracy: 0.9553 - 773ms/epoch - 5ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1924 - val_categorical_accuracy: 0.9596 - 974ms/epoch - 7ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.1182 - categorical_accuracy: 0.9662 - val_loss: 0.1761 - val_categorical_accuracy: 0.9546 - 1s/epoch - 7ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1776 - val_categorical_accuracy: 0.9594 - 1s/epoch - 7ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.1823 - val_categorical_accuracy: 0.9613 - 1s/epoch - 8ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1824 - val_categorical_accuracy: 0.9605 - 849ms/epoch - 6ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1828 - val_categorical_accuracy: 0.9614 - 828ms/epoch - 6ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9868 - val_loss: 0.1819 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1962 - val_categorical_accuracy: 0.9576 - 1s/epoch - 7ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2003 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1941 - val_categorical_accuracy: 0.9578 - 1s/epoch - 7ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1937 - val_categorical_accuracy: 0.9565 - 1s/epoch - 7ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1937 - val_categorical_accuracy: 0.9588 - 1s/epoch - 7ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.1900 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1957 - val_categorical_accuracy: 0.9604 - 954ms/epoch - 7ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2275 - val_categorical_accuracy: 0.9543 - 822ms/epoch - 6ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.1963 - val_categorical_accuracy: 0.9581 - 871ms/epoch - 6ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9866 - val_loss: 0.1973 - val_categorical_accuracy: 0.9585 - 1s/epoch - 7ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2039 - val_categorical_accuracy: 0.9550 - 985ms/epoch - 7ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2074 - val_categorical_accuracy: 0.9559 - 854ms/epoch - 6ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1926 - val_categorical_accuracy: 0.9611 - 872ms/epoch - 6ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9791 - val_loss: 0.1855 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1933 - val_categorical_accuracy: 0.9596 - 956ms/epoch - 7ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.1931 - val_categorical_accuracy: 0.9610 - 871ms/epoch - 6ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1902 - val_categorical_accuracy: 0.9598 - 918ms/epoch - 7ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1961 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.1991 - val_categorical_accuracy: 0.9562 - 982ms/epoch - 7ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9817 - val_loss: 0.1938 - val_categorical_accuracy: 0.9597 - 854ms/epoch - 6ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1874 - val_categorical_accuracy: 0.9613 - 829ms/epoch - 6ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9741 - val_loss: 0.1789 - val_categorical_accuracy: 0.9552 - 1s/epoch - 7ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9866 - val_loss: 0.1866 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2011 - val_categorical_accuracy: 0.9559 - 1s/epoch - 7ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1838 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9869 - val_loss: 0.1935 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1968 - val_categorical_accuracy: 0.9584 - 991ms/epoch - 7ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2173 - val_categorical_accuracy: 0.9545 - 997ms/epoch - 7ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.1926 - val_categorical_accuracy: 0.9585 - 940ms/epoch - 7ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2159 - val_categorical_accuracy: 0.9555 - 843ms/epoch - 6ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9747 - val_loss: 0.3794 - val_categorical_accuracy: 0.8818 - 880ms/epoch - 6ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9784 - val_loss: 0.1810 - val_categorical_accuracy: 0.9583 - 1s/epoch - 7ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1888 - val_categorical_accuracy: 0.9591 - 992ms/epoch - 7ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1863 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1983 - val_categorical_accuracy: 0.9586 - 1s/epoch - 7ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1919 - val_categorical_accuracy: 0.9586 - 836ms/epoch - 6ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9864 - val_loss: 0.1896 - val_categorical_accuracy: 0.9599 - 845ms/epoch - 6ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.1926 - val_categorical_accuracy: 0.9584 - 1s/epoch - 8ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2021 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.1858 - val_categorical_accuracy: 0.9599 - 951ms/epoch - 7ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.1928 - val_categorical_accuracy: 0.9598 - 860ms/epoch - 6ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2226 - val_categorical_accuracy: 0.9535 - 888ms/epoch - 6ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.1998 - val_categorical_accuracy: 0.9587 - 1s/epoch - 7ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1918 - val_categorical_accuracy: 0.9607 - 979ms/epoch - 7ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2053 - val_categorical_accuracy: 0.9560 - 903ms/epoch - 6ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2008 - val_categorical_accuracy: 0.9573 - 881ms/epoch - 6ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9869 - val_loss: 0.2034 - val_categorical_accuracy: 0.9580 - 1s/epoch - 7ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.1937 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2038 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9874 - val_loss: 0.1939 - val_categorical_accuracy: 0.9599 - 1s/epoch - 7ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2067 - val_categorical_accuracy: 0.9564 - 1s/epoch - 7ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2207 - val_categorical_accuracy: 0.9531 - 1s/epoch - 7ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9863 - val_loss: 0.2067 - val_categorical_accuracy: 0.9569 - 1s/epoch - 7ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0923 - categorical_accuracy: 0.9733 - val_loss: 0.2228 - val_categorical_accuracy: 0.9441 - 890ms/epoch - 6ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1893 - val_categorical_accuracy: 0.9600 - 867ms/epoch - 6ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1880 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9839 - val_loss: 0.1894 - val_categorical_accuracy: 0.9588 - 1s/epoch - 7ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1919 - val_categorical_accuracy: 0.9599 - 983ms/epoch - 7ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2595 - val_categorical_accuracy: 0.9439 - 854ms/epoch - 6ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9802 - val_loss: 0.1872 - val_categorical_accuracy: 0.9591 - 891ms/epoch - 6ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.1865 - val_categorical_accuracy: 0.9609 - 1s/epoch - 8ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2019 - val_categorical_accuracy: 0.9543 - 875ms/epoch - 6ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1914 - val_categorical_accuracy: 0.9610 - 867ms/epoch - 6ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9788 - val_loss: 0.1918 - val_categorical_accuracy: 0.9523 - 943ms/epoch - 7ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1834 - val_categorical_accuracy: 0.9614 - 927ms/epoch - 7ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1869 - val_categorical_accuracy: 0.9586 - 1s/epoch - 8ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1874 - val_categorical_accuracy: 0.9607 - 967ms/epoch - 7ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1959 - val_categorical_accuracy: 0.9575 - 1s/epoch - 8ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.2038 - val_categorical_accuracy: 0.9572 - 841ms/epoch - 6ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.1898 - val_categorical_accuracy: 0.9608 - 882ms/epoch - 6ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1942 - val_categorical_accuracy: 0.9589 - 1s/epoch - 8ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1948 - val_categorical_accuracy: 0.9602 - 919ms/epoch - 7ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1951 - val_categorical_accuracy: 0.9603 - 936ms/epoch - 7ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9867 - val_loss: 0.1983 - val_categorical_accuracy: 0.9594 - 1s/epoch - 8ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.1996 - val_categorical_accuracy: 0.9589 - 993ms/epoch - 7ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.2011 - val_categorical_accuracy: 0.9588 - 857ms/epoch - 6ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.1972 - val_categorical_accuracy: 0.9613 - 952ms/epoch - 7ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.1961 - val_categorical_accuracy: 0.9614 - 1s/epoch - 8ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9792 - val_loss: 0.1934 - val_categorical_accuracy: 0.9603 - 868ms/epoch - 6ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1971 - val_categorical_accuracy: 0.9582 - 906ms/epoch - 6ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1941 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.1953 - val_categorical_accuracy: 0.9607 - 1s/epoch - 7ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9873 - val_loss: 0.1962 - val_categorical_accuracy: 0.9613 - 959ms/epoch - 7ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1898 - val_categorical_accuracy: 0.9622 - 948ms/epoch - 7ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1956 - val_categorical_accuracy: 0.9601 - 841ms/epoch - 6ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1998 - val_categorical_accuracy: 0.9602 - 856ms/epoch - 6ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2024 - val_categorical_accuracy: 0.9581 - 1s/epoch - 7ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2027 - val_categorical_accuracy: 0.9578 - 981ms/epoch - 7ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2043 - val_categorical_accuracy: 0.9567 - 839ms/epoch - 6ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2189 - val_categorical_accuracy: 0.9528 - 853ms/epoch - 6ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.1966 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.1982 - val_categorical_accuracy: 0.9605 - 980ms/epoch - 7ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2121 - val_categorical_accuracy: 0.9563 - 869ms/epoch - 6ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2021 - val_categorical_accuracy: 0.9587 - 1s/epoch - 8ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.1979 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9865 - val_loss: 0.2055 - val_categorical_accuracy: 0.9581 - 966ms/epoch - 7ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2023 - val_categorical_accuracy: 0.9598 - 869ms/epoch - 6ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2022 - val_categorical_accuracy: 0.9594 - 889ms/epoch - 6ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2025 - val_categorical_accuracy: 0.9594 - 1s/epoch - 7ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0967 - categorical_accuracy: 0.9733 - val_loss: 0.3278 - val_categorical_accuracy: 0.8985 - 1s/epoch - 7ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9798 - val_loss: 0.1972 - val_categorical_accuracy: 0.9555 - 968ms/epoch - 7ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1868 - val_categorical_accuracy: 0.9614 - 862ms/epoch - 6ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.1930 - val_categorical_accuracy: 0.9618 - 893ms/epoch - 6ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.1973 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2199 - val_categorical_accuracy: 0.9519 - 1s/epoch - 7ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2004 - val_categorical_accuracy: 0.9596 - 1s/epoch - 7ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9856 - val_loss: 1.6347 - val_categorical_accuracy: 0.6999 - 989ms/epoch - 7ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0897 - categorical_accuracy: 0.9724 - val_loss: 0.1805 - val_categorical_accuracy: 0.9590 - 851ms/epoch - 6ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.1841 - val_categorical_accuracy: 0.9602 - 883ms/epoch - 6ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.1990 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.1977 - val_categorical_accuracy: 0.9551 - 994ms/epoch - 7ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.1912 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1943 - val_categorical_accuracy: 0.9608 - 839ms/epoch - 6ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1930 - val_categorical_accuracy: 0.9615 - 853ms/epoch - 6ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2093 - val_categorical_accuracy: 0.9555 - 1s/epoch - 7ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2157 - val_categorical_accuracy: 0.9566 - 988ms/epoch - 7ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1954 - val_categorical_accuracy: 0.9620 - 882ms/epoch - 6ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1944 - val_categorical_accuracy: 0.9608 - 889ms/epoch - 6ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2034 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.1972 - val_categorical_accuracy: 0.9619 - 1s/epoch - 7ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9809 - val_loss: 0.1834 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1991 - val_categorical_accuracy: 0.9588 - 962ms/epoch - 7ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2009 - val_categorical_accuracy: 0.9587 - 856ms/epoch - 6ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.1957 - val_categorical_accuracy: 0.9602 - 889ms/epoch - 6ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.1915 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2028 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2025 - val_categorical_accuracy: 0.9603 - 998ms/epoch - 7ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2120 - val_categorical_accuracy: 0.9579 - 869ms/epoch - 6ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2061 - val_categorical_accuracy: 0.9589 - 842ms/epoch - 6ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2027 - val_categorical_accuracy: 0.9597 - 1s/epoch - 7ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2011 - val_categorical_accuracy: 0.9597 - 995ms/epoch - 7ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2056 - val_categorical_accuracy: 0.9578 - 979ms/epoch - 7ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2020 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2064 - val_categorical_accuracy: 0.9589 - 986ms/epoch - 7ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2091 - val_categorical_accuracy: 0.9574 - 1s/epoch - 7ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.2061 - val_categorical_accuracy: 0.9568 - 1s/epoch - 7ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9871 - val_loss: 0.2083 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2136 - val_categorical_accuracy: 0.9584 - 953ms/epoch - 7ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2039 - val_categorical_accuracy: 0.9601 - 817ms/epoch - 6ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9874 - val_loss: 0.2022 - val_categorical_accuracy: 0.9604 - 867ms/epoch - 6ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2120 - val_categorical_accuracy: 0.9580 - 1s/epoch - 7ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.2034 - val_categorical_accuracy: 0.9620 - 980ms/epoch - 7ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9815 - val_loss: 0.1998 - val_categorical_accuracy: 0.9580 - 864ms/epoch - 6ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.1954 - val_categorical_accuracy: 0.9599 - 877ms/epoch - 6ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9877 - val_loss: 0.2030 - val_categorical_accuracy: 0.9603 - 1s/epoch - 7ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1977 - val_categorical_accuracy: 0.9612 - 997ms/epoch - 7ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2061 - val_categorical_accuracy: 0.9579 - 962ms/epoch - 7ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9850 - val_loss: 0.2005 - val_categorical_accuracy: 0.9583 - 844ms/epoch - 6ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2033 - val_categorical_accuracy: 0.9600 - 892ms/epoch - 6ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2058 - val_categorical_accuracy: 0.9585 - 1s/epoch - 7ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.1995 - val_categorical_accuracy: 0.9593 - 1s/epoch - 7ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2006 - val_categorical_accuracy: 0.9605 - 998ms/epoch - 7ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2080 - val_categorical_accuracy: 0.9593 - 970ms/epoch - 7ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2107 - val_categorical_accuracy: 0.9592 - 856ms/epoch - 6ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2132 - val_categorical_accuracy: 0.9597 - 860ms/epoch - 6ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.1171 - categorical_accuracy: 0.9672 - val_loss: 0.1900 - val_categorical_accuracy: 0.9577 - 1s/epoch - 7ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1932 - val_categorical_accuracy: 0.9583 - 1s/epoch - 7ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2058 - val_categorical_accuracy: 0.9562 - 997ms/epoch - 7ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2155 - val_categorical_accuracy: 0.9545 - 997ms/epoch - 7ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2003 - val_categorical_accuracy: 0.9577 - 918ms/epoch - 7ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2034 - val_categorical_accuracy: 0.9601 - 837ms/epoch - 6ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1942 - val_categorical_accuracy: 0.9612 - 902ms/epoch - 6ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2020 - val_categorical_accuracy: 0.9594 - 1s/epoch - 7ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9798 - val_loss: 0.2066 - val_categorical_accuracy: 0.9450 - 981ms/epoch - 7ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1932 - val_categorical_accuracy: 0.9597 - 843ms/epoch - 6ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1908 - val_categorical_accuracy: 0.9601 - 869ms/epoch - 6ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.1963 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1977 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1915 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9847 - val_loss: 0.6601 - val_categorical_accuracy: 0.8689 - 1s/epoch - 7ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9833 - val_loss: 0.1915 - val_categorical_accuracy: 0.9597 - 991ms/epoch - 7ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.1948 - val_categorical_accuracy: 0.9593 - 978ms/epoch - 7ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1927 - val_categorical_accuracy: 0.9605 - 849ms/epoch - 6ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2071 - val_categorical_accuracy: 0.9577 - 872ms/epoch - 6ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1924 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2009 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.1932 - val_categorical_accuracy: 0.9607 - 1s/epoch - 7ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2111 - val_categorical_accuracy: 0.9574 - 1s/epoch - 7ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.1953 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1932 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2093 - val_categorical_accuracy: 0.9563 - 955ms/epoch - 7ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1999 - val_categorical_accuracy: 0.9604 - 860ms/epoch - 6ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2352 - val_categorical_accuracy: 0.9507 - 857ms/epoch - 6ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.2136 - val_categorical_accuracy: 0.9580 - 1s/epoch - 7ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2174 - val_categorical_accuracy: 0.9567 - 999ms/epoch - 7ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2012 - val_categorical_accuracy: 0.9597 - 962ms/epoch - 7ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2021 - val_categorical_accuracy: 0.9597 - 840ms/epoch - 6ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2171 - val_categorical_accuracy: 0.9569 - 884ms/epoch - 6ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9845 - val_loss: 0.2020 - val_categorical_accuracy: 0.9563 - 1s/epoch - 7ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1955 - val_categorical_accuracy: 0.9597 - 994ms/epoch - 7ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.1978 - val_categorical_accuracy: 0.9605 - 959ms/epoch - 7ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2118 - val_categorical_accuracy: 0.9566 - 846ms/epoch - 6ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9877 - val_loss: 0.2157 - val_categorical_accuracy: 0.9562 - 889ms/epoch - 6ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2161 - val_categorical_accuracy: 0.9557 - 1s/epoch - 7ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2106 - val_categorical_accuracy: 0.9583 - 1s/epoch - 7ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2010 - val_categorical_accuracy: 0.9617 - 993ms/epoch - 7ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2058 - val_categorical_accuracy: 0.9598 - 969ms/epoch - 7ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9750 - val_loss: 0.1883 - val_categorical_accuracy: 0.9597 - 874ms/epoch - 6ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2158 - val_categorical_accuracy: 0.9524 - 862ms/epoch - 6ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2007 - val_categorical_accuracy: 0.9596 - 1s/epoch - 7ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2011 - val_categorical_accuracy: 0.9602 - 998ms/epoch - 7ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2038 - val_categorical_accuracy: 0.9591 - 1s/epoch - 7ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1953 - val_categorical_accuracy: 0.9612 - 843ms/epoch - 6ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2008 - val_categorical_accuracy: 0.9591 - 836ms/epoch - 6ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2046 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9880 - val_loss: 0.2088 - val_categorical_accuracy: 0.9594 - 969ms/epoch - 7ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2065 - val_categorical_accuracy: 0.9579 - 825ms/epoch - 6ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2108 - val_categorical_accuracy: 0.9599 - 878ms/epoch - 6ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2008 - val_categorical_accuracy: 0.9593 - 1s/epoch - 7ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2105 - val_categorical_accuracy: 0.9586 - 984ms/epoch - 7ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2036 - val_categorical_accuracy: 0.9600 - 944ms/epoch - 7ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2142 - val_categorical_accuracy: 0.9588 - 866ms/epoch - 6ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9748 - val_loss: 0.1817 - val_categorical_accuracy: 0.9609 - 907ms/epoch - 6ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1908 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.1922 - val_categorical_accuracy: 0.9607 - 979ms/epoch - 7ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2053 - val_categorical_accuracy: 0.9579 - 843ms/epoch - 6ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.1999 - val_categorical_accuracy: 0.9596 - 858ms/epoch - 6ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2026 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1983 - val_categorical_accuracy: 0.9615 - 1s/epoch - 7ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.2245 - val_categorical_accuracy: 0.9563 - 969ms/epoch - 7ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9879 - val_loss: 0.2070 - val_categorical_accuracy: 0.9584 - 838ms/epoch - 6ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2012 - val_categorical_accuracy: 0.9614 - 854ms/epoch - 6ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2013 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2052 - val_categorical_accuracy: 0.9589 - 973ms/epoch - 7ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9800 - val_loss: 0.1964 - val_categorical_accuracy: 0.9586 - 850ms/epoch - 6ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2120 - val_categorical_accuracy: 0.9553 - 869ms/epoch - 6ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.1895 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1992 - val_categorical_accuracy: 0.9613 - 980ms/epoch - 7ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2047 - val_categorical_accuracy: 0.9604 - 1s/epoch - 7ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2151 - val_categorical_accuracy: 0.9570 - 980ms/epoch - 7ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2027 - val_categorical_accuracy: 0.9595 - 853ms/epoch - 6ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2040 - val_categorical_accuracy: 0.9593 - 889ms/epoch - 6ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2057 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9883 - val_loss: 0.2175 - val_categorical_accuracy: 0.9568 - 1s/epoch - 7ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2273 - val_categorical_accuracy: 0.9535 - 953ms/epoch - 7ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2040 - val_categorical_accuracy: 0.9603 - 942ms/epoch - 7ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.2275 - val_categorical_accuracy: 0.9540 - 842ms/epoch - 6ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2167 - val_categorical_accuracy: 0.9568 - 862ms/epoch - 6ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.2163 - val_categorical_accuracy: 0.9569 - 1s/epoch - 7ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0882 - categorical_accuracy: 0.9747 - val_loss: 0.1879 - val_categorical_accuracy: 0.9556 - 963ms/epoch - 7ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.1954 - val_categorical_accuracy: 0.9582 - 845ms/epoch - 6ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.1933 - val_categorical_accuracy: 0.9609 - 876ms/epoch - 6ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2064 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1993 - val_categorical_accuracy: 0.9613 - 982ms/epoch - 7ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2049 - val_categorical_accuracy: 0.9603 - 839ms/epoch - 6ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2041 - val_categorical_accuracy: 0.9601 - 857ms/epoch - 6ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.8937 - val_categorical_accuracy: 0.8439 - 1s/epoch - 7ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9773 - val_loss: 0.1876 - val_categorical_accuracy: 0.9606 - 967ms/epoch - 7ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1976 - val_categorical_accuracy: 0.9604 - 858ms/epoch - 6ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.1956 - val_categorical_accuracy: 0.9617 - 871ms/epoch - 6ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2046 - val_categorical_accuracy: 0.9587 - 1s/epoch - 7ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.1958 - val_categorical_accuracy: 0.9620 - 996ms/epoch - 7ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2061 - val_categorical_accuracy: 0.9583 - 972ms/epoch - 7ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1970 - val_categorical_accuracy: 0.9614 - 922ms/epoch - 7ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2048 - val_categorical_accuracy: 0.9610 - 818ms/epoch - 6ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9883 - val_loss: 0.2083 - val_categorical_accuracy: 0.9589 - 897ms/epoch - 6ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9882 - val_loss: 0.2206 - val_categorical_accuracy: 0.9569 - 981ms/epoch - 7ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2054 - val_categorical_accuracy: 0.9618 - 993ms/epoch - 7ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.2089 - val_categorical_accuracy: 0.9615 - 981ms/epoch - 7ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9882 - val_loss: 0.2108 - val_categorical_accuracy: 0.9590 - 967ms/epoch - 7ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.3344 - val_categorical_accuracy: 0.9325 - 963ms/epoch - 7ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9770 - val_loss: 0.1935 - val_categorical_accuracy: 0.9593 - 985ms/epoch - 7ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.1997 - val_categorical_accuracy: 0.9577 - 969ms/epoch - 7ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.1980 - val_categorical_accuracy: 0.9595 - 966ms/epoch - 7ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2066 - val_categorical_accuracy: 0.9595 - 979ms/epoch - 7ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2105 - val_categorical_accuracy: 0.9568 - 980ms/epoch - 7ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2019 - val_categorical_accuracy: 0.9618 - 843ms/epoch - 6ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2040 - val_categorical_accuracy: 0.9607 - 841ms/epoch - 6ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2102 - val_categorical_accuracy: 0.9587 - 1s/epoch - 7ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2167 - val_categorical_accuracy: 0.9584 - 950ms/epoch - 7ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2596 - val_categorical_accuracy: 0.9466 - 816ms/epoch - 6ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.2032 - val_categorical_accuracy: 0.9609 - 861ms/epoch - 6ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2081 - val_categorical_accuracy: 0.9582 - 1s/epoch - 7ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2181 - val_categorical_accuracy: 0.9571 - 957ms/epoch - 7ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.1996 - val_categorical_accuracy: 0.9603 - 848ms/epoch - 6ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9769 - val_loss: 0.1874 - val_categorical_accuracy: 0.9589 - 871ms/epoch - 6ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1848 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.1993 - val_categorical_accuracy: 0.9599 - 952ms/epoch - 7ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.1967 - val_categorical_accuracy: 0.9604 - 861ms/epoch - 6ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2033 - val_categorical_accuracy: 0.9611 - 877ms/epoch - 6ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2186 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2045 - val_categorical_accuracy: 0.9621 - 991ms/epoch - 7ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2098 - val_categorical_accuracy: 0.9587 - 998ms/epoch - 7ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2086 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9769 - val_loss: 0.2350 - val_categorical_accuracy: 0.9341 - 927ms/epoch - 7ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1970 - val_categorical_accuracy: 0.9583 - 855ms/epoch - 6ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2036 - val_categorical_accuracy: 0.9585 - 918ms/epoch - 7ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2016 - val_categorical_accuracy: 0.9604 - 974ms/epoch - 7ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.1977 - val_categorical_accuracy: 0.9612 - 835ms/epoch - 6ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9887 - val_loss: 0.2051 - val_categorical_accuracy: 0.9593 - 842ms/epoch - 6ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.1997 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2128 - val_categorical_accuracy: 0.9576 - 982ms/epoch - 7ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2075 - val_categorical_accuracy: 0.9585 - 853ms/epoch - 6ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2086 - val_categorical_accuracy: 0.9593 - 876ms/epoch - 6ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2029 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2045 - val_categorical_accuracy: 0.9594 - 1s/epoch - 7ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2043 - val_categorical_accuracy: 0.9604 - 973ms/epoch - 7ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2455 - val_categorical_accuracy: 0.9501 - 859ms/epoch - 6ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2016 - val_categorical_accuracy: 0.9611 - 863ms/epoch - 6ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2083 - val_categorical_accuracy: 0.9593 - 996ms/epoch - 7ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2040 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9830 - val_loss: 0.1967 - val_categorical_accuracy: 0.9607 - 983ms/epoch - 7ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2048 - val_categorical_accuracy: 0.9584 - 936ms/epoch - 7ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2037 - val_categorical_accuracy: 0.9611 - 837ms/epoch - 6ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2115 - val_categorical_accuracy: 0.9593 - 905ms/epoch - 6ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2037 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2101 - val_categorical_accuracy: 0.9608 - 821ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2083 - val_categorical_accuracy: 0.9607 - 854ms/epoch - 6ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9886 - val_loss: 0.2204 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.2068 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2314 - val_categorical_accuracy: 0.9512 - 950ms/epoch - 7ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2050 - val_categorical_accuracy: 0.9612 - 842ms/epoch - 6ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2063 - val_categorical_accuracy: 0.9605 - 880ms/epoch - 6ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2033 - val_categorical_accuracy: 0.9614 - 1s/epoch - 7ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0815 - categorical_accuracy: 0.9769 - val_loss: 0.1860 - val_categorical_accuracy: 0.9604 - 1s/epoch - 7ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9885 - val_loss: 0.1958 - val_categorical_accuracy: 0.9602 - 985ms/epoch - 7ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2052 - val_categorical_accuracy: 0.9575 - 828ms/epoch - 6ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2532 - val_categorical_accuracy: 0.9509 - 829ms/epoch - 6ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1983 - val_categorical_accuracy: 0.9615 - 1s/epoch - 7ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2028 - val_categorical_accuracy: 0.9617 - 961ms/epoch - 7ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9885 - val_loss: 0.2219 - val_categorical_accuracy: 0.9560 - 828ms/epoch - 6ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2062 - val_categorical_accuracy: 0.9599 - 887ms/epoch - 6ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2031 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2029 - val_categorical_accuracy: 0.9610 - 993ms/epoch - 7ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2151 - val_categorical_accuracy: 0.9589 - 965ms/epoch - 7ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2100 - val_categorical_accuracy: 0.9586 - 990ms/epoch - 7ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2086 - val_categorical_accuracy: 0.9608 - 833ms/epoch - 6ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2122 - val_categorical_accuracy: 0.9594 - 861ms/epoch - 6ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2171 - val_categorical_accuracy: 0.9590 - 1s/epoch - 7ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9882 - val_loss: 0.2155 - val_categorical_accuracy: 0.9588 - 1s/epoch - 7ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9807 - val_loss: 0.2042 - val_categorical_accuracy: 0.9583 - 950ms/epoch - 7ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2014 - val_categorical_accuracy: 0.9579 - 831ms/epoch - 6ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2013 - val_categorical_accuracy: 0.9607 - 874ms/epoch - 6ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2010 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2031 - val_categorical_accuracy: 0.9606 - 982ms/epoch - 7ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2042 - val_categorical_accuracy: 0.9594 - 840ms/epoch - 6ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2267 - val_categorical_accuracy: 0.9541 - 835ms/epoch - 6ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2094 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9889 - val_loss: 0.2035 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2081 - val_categorical_accuracy: 0.9606 - 851ms/epoch - 6ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2227 - val_categorical_accuracy: 0.9562 - 841ms/epoch - 6ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2078 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9792 - val_loss: 0.2039 - val_categorical_accuracy: 0.9544 - 1s/epoch - 7ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1981 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.1995 - val_categorical_accuracy: 0.9612 - 948ms/epoch - 7ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9888 - val_loss: 0.2101 - val_categorical_accuracy: 0.9592 - 867ms/epoch - 6ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2040 - val_categorical_accuracy: 0.9589 - 875ms/epoch - 6ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2085 - val_categorical_accuracy: 0.9614 - 1s/epoch - 7ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2114 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2079 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2064 - val_categorical_accuracy: 0.9609 - 999ms/epoch - 7ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2310 - val_categorical_accuracy: 0.9573 - 1s/epoch - 7ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2096 - val_categorical_accuracy: 0.9599 - 968ms/epoch - 7ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.2071 - val_categorical_accuracy: 0.9619 - 841ms/epoch - 6ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2135 - val_categorical_accuracy: 0.9593 - 845ms/epoch - 6ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2073 - val_categorical_accuracy: 0.9617 - 1s/epoch - 7ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2052 - val_categorical_accuracy: 0.9624 - 975ms/epoch - 7ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2143 - val_categorical_accuracy: 0.9596 - 939ms/epoch - 7ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2140 - val_categorical_accuracy: 0.9563 - 850ms/epoch - 6ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2205 - val_categorical_accuracy: 0.9592 - 882ms/epoch - 6ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2218 - val_categorical_accuracy: 0.9577 - 1s/epoch - 7ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2134 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9886 - val_loss: 0.2114 - val_categorical_accuracy: 0.9597 - 958ms/epoch - 7ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9885 - val_loss: 0.2143 - val_categorical_accuracy: 0.9608 - 839ms/epoch - 6ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2131 - val_categorical_accuracy: 0.9610 - 875ms/epoch - 6ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2133 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2386 - val_categorical_accuracy: 0.9546 - 1s/epoch - 7ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2235 - val_categorical_accuracy: 0.9587 - 967ms/epoch - 7ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9827 - val_loss: 0.2812 - val_categorical_accuracy: 0.9246 - 875ms/epoch - 6ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.2250 - val_categorical_accuracy: 0.9525 - 859ms/epoch - 6ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2018 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2075 - val_categorical_accuracy: 0.9607 - 948ms/epoch - 7ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2114 - val_categorical_accuracy: 0.9608 - 825ms/epoch - 6ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2096 - val_categorical_accuracy: 0.9614 - 855ms/epoch - 6ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2195 - val_categorical_accuracy: 0.9582 - 1s/epoch - 7ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2157 - val_categorical_accuracy: 0.9597 - 1s/epoch - 7ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2120 - val_categorical_accuracy: 0.9604 - 983ms/epoch - 7ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2108 - val_categorical_accuracy: 0.9609 - 836ms/epoch - 6ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2092 - val_categorical_accuracy: 0.9609 - 866ms/epoch - 6ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2120 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9884 - val_loss: 0.2164 - val_categorical_accuracy: 0.9608 - 949ms/epoch - 7ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9885 - val_loss: 0.2193 - val_categorical_accuracy: 0.9586 - 861ms/epoch - 6ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2493 - val_categorical_accuracy: 0.9541 - 910ms/epoch - 6ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.2129 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2201 - val_categorical_accuracy: 0.9570 - 1s/epoch - 7ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9886 - val_loss: 0.2159 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2276 - val_categorical_accuracy: 0.9570 - 990ms/epoch - 7ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9883 - val_loss: 0.2524 - val_categorical_accuracy: 0.9507 - 846ms/epoch - 6ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.1064 - categorical_accuracy: 0.9700 - val_loss: 0.1986 - val_categorical_accuracy: 0.9598 - 861ms/epoch - 6ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2130 - val_categorical_accuracy: 0.9574 - 1s/epoch - 7ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2066 - val_categorical_accuracy: 0.9597 - 998ms/epoch - 7ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2146 - val_categorical_accuracy: 0.9604 - 959ms/epoch - 7ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2098 - val_categorical_accuracy: 0.9625 - 837ms/epoch - 6ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2063 - val_categorical_accuracy: 0.9619 - 844ms/epoch - 6ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2130 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2087 - val_categorical_accuracy: 0.9621 - 1s/epoch - 7ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2210 - val_categorical_accuracy: 0.9587 - 856ms/epoch - 6ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2082 - val_categorical_accuracy: 0.9618 - 868ms/epoch - 6ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2162 - val_categorical_accuracy: 0.9576 - 1s/epoch - 7ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9816 - val_loss: 0.2173 - val_categorical_accuracy: 0.9497 - 980ms/epoch - 7ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1978 - val_categorical_accuracy: 0.9612 - 994ms/epoch - 7ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2047 - val_categorical_accuracy: 0.9608 - 849ms/epoch - 6ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2081 - val_categorical_accuracy: 0.9600 - 846ms/epoch - 6ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2188 - val_categorical_accuracy: 0.9577 - 1s/epoch - 7ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2072 - val_categorical_accuracy: 0.9604 - 1s/epoch - 7ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2102 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2090 - val_categorical_accuracy: 0.9614 - 944ms/epoch - 7ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2149 - val_categorical_accuracy: 0.9599 - 985ms/epoch - 7ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2182 - val_categorical_accuracy: 0.9577 - 849ms/epoch - 6ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.2623 - val_categorical_accuracy: 0.9514 - 857ms/epoch - 6ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2188 - val_categorical_accuracy: 0.9593 - 1s/epoch - 7ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2216 - val_categorical_accuracy: 0.9576 - 1s/epoch - 7ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2083 - val_categorical_accuracy: 0.9620 - 847ms/epoch - 6ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2594 - val_categorical_accuracy: 0.9516 - 847ms/epoch - 6ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9776 - val_loss: 0.1981 - val_categorical_accuracy: 0.9590 - 1s/epoch - 7ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2002 - val_categorical_accuracy: 0.9623 - 1s/epoch - 7ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2020 - val_categorical_accuracy: 0.9605 - 962ms/epoch - 7ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2007 - val_categorical_accuracy: 0.9621 - 852ms/epoch - 6ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2038 - val_categorical_accuracy: 0.9609 - 907ms/epoch - 6ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2090 - val_categorical_accuracy: 0.9606 - 1s/epoch - 7ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2109 - val_categorical_accuracy: 0.9605 - 1s/epoch - 7ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2177 - val_categorical_accuracy: 0.9575 - 980ms/epoch - 7ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2166 - val_categorical_accuracy: 0.9582 - 856ms/epoch - 6ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9888 - val_loss: 0.2169 - val_categorical_accuracy: 0.9590 - 888ms/epoch - 6ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2154 - val_categorical_accuracy: 0.9619 - 1s/epoch - 7ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2114 - val_categorical_accuracy: 0.9588 - 1s/epoch - 7ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9887 - val_loss: 0.2094 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9890 - val_loss: 0.2134 - val_categorical_accuracy: 0.9607 - 978ms/epoch - 7ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2144 - val_categorical_accuracy: 0.9610 - 862ms/epoch - 6ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2186 - val_categorical_accuracy: 0.9606 - 852ms/epoch - 6ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2200 - val_categorical_accuracy: 0.9592 - 1s/epoch - 7ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2143 - val_categorical_accuracy: 0.9596 - 996ms/epoch - 7ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2143 - val_categorical_accuracy: 0.9613 - 931ms/epoch - 7ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2119 - val_categorical_accuracy: 0.9616 - 847ms/epoch - 6ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2264 - val_categorical_accuracy: 0.9582 - 1s/epoch - 8ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2177 - val_categorical_accuracy: 0.9579 - 963ms/epoch - 7ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.3650 - val_categorical_accuracy: 0.9303 - 847ms/epoch - 6ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9779 - val_loss: 0.1992 - val_categorical_accuracy: 0.9624 - 888ms/epoch - 6ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2058 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2118 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2104 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2149 - val_categorical_accuracy: 0.9605 - 865ms/epoch - 6ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2072 - val_categorical_accuracy: 0.9622 - 862ms/epoch - 6ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2126 - val_categorical_accuracy: 0.9605 - 1s/epoch - 7ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9815 - val_loss: 0.2239 - val_categorical_accuracy: 0.9451 - 1s/epoch - 7ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.1977 - val_categorical_accuracy: 0.9613 - 974ms/epoch - 7ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2051 - val_categorical_accuracy: 0.9610 - 860ms/epoch - 6ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2038 - val_categorical_accuracy: 0.9607 - 861ms/epoch - 6ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9878 - val_loss: 0.7270 - val_categorical_accuracy: 0.8811 - 1s/epoch - 7ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9853 - val_loss: 0.2051 - val_categorical_accuracy: 0.9570 - 1s/epoch - 7ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9895 - val_loss: 0.2067 - val_categorical_accuracy: 0.9603 - 1s/epoch - 7ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.2060 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9843 - val_loss: 0.1992 - val_categorical_accuracy: 0.9606 - 987ms/epoch - 7ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2016 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2070 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2069 - val_categorical_accuracy: 0.9615 - 952ms/epoch - 7ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2091 - val_categorical_accuracy: 0.9608 - 847ms/epoch - 6ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2176 - val_categorical_accuracy: 0.9591 - 885ms/epoch - 6ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2151 - val_categorical_accuracy: 0.9590 - 1s/epoch - 7ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2325 - val_categorical_accuracy: 0.9566 - 943ms/epoch - 7ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2084 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2324 - val_categorical_accuracy: 0.9579 - 976ms/epoch - 7ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2137 - val_categorical_accuracy: 0.9619 - 838ms/epoch - 6ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2165 - val_categorical_accuracy: 0.9597 - 869ms/epoch - 6ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2170 - val_categorical_accuracy: 0.9590 - 1s/epoch - 7ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2090 - val_categorical_accuracy: 0.9630 - 993ms/epoch - 7ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9889 - val_loss: 0.2236 - val_categorical_accuracy: 0.9599 - 972ms/epoch - 7ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9811 - val_loss: 0.1951 - val_categorical_accuracy: 0.9594 - 987ms/epoch - 7ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2026 - val_categorical_accuracy: 0.9623 - 934ms/epoch - 7ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2055 - val_categorical_accuracy: 0.9626 - 856ms/epoch - 6ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2137 - val_categorical_accuracy: 0.9622 - 859ms/epoch - 6ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2104 - val_categorical_accuracy: 0.9620 - 1s/epoch - 8ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2131 - val_categorical_accuracy: 0.9604 - 1s/epoch - 7ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2133 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2145 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2099 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2248 - val_categorical_accuracy: 0.9580 - 963ms/epoch - 7ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2103 - val_categorical_accuracy: 0.9623 - 877ms/epoch - 6ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2243 - val_categorical_accuracy: 0.9581 - 875ms/epoch - 6ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9816 - val_loss: 0.2075 - val_categorical_accuracy: 0.9538 - 1s/epoch - 7ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2085 - val_categorical_accuracy: 0.9606 - 1s/epoch - 7ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2084 - val_categorical_accuracy: 0.9628 - 1s/epoch - 7ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2055 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2100 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9889 - val_loss: 0.2058 - val_categorical_accuracy: 0.9631 - 985ms/epoch - 7ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2270 - val_categorical_accuracy: 0.9572 - 845ms/epoch - 6ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2164 - val_categorical_accuracy: 0.9603 - 855ms/epoch - 6ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2140 - val_categorical_accuracy: 0.9601 - 1s/epoch - 7ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9887 - val_loss: 0.2264 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9889 - val_loss: 0.2213 - val_categorical_accuracy: 0.9608 - 997ms/epoch - 7ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2115 - val_categorical_accuracy: 0.9620 - 979ms/epoch - 7ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2151 - val_categorical_accuracy: 0.9613 - 839ms/epoch - 6ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2289 - val_categorical_accuracy: 0.9599 - 868ms/epoch - 6ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2172 - val_categorical_accuracy: 0.9620 - 1s/epoch - 8ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2134 - val_categorical_accuracy: 0.9617 - 981ms/epoch - 7ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9892 - val_loss: 0.2254 - val_categorical_accuracy: 0.9576 - 972ms/epoch - 7ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2312 - val_categorical_accuracy: 0.9566 - 841ms/epoch - 6ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2298 - val_categorical_accuracy: 0.9597 - 887ms/epoch - 6ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2174 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2195 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2132 - val_categorical_accuracy: 0.9632 - 998ms/epoch - 7ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2212 - val_categorical_accuracy: 0.9595 - 843ms/epoch - 6ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2247 - val_categorical_accuracy: 0.9603 - 861ms/epoch - 6ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2255 - val_categorical_accuracy: 0.9608 - 1s/epoch - 8ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2229 - val_categorical_accuracy: 0.9600 - 996ms/epoch - 7ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2215 - val_categorical_accuracy: 0.9614 - 842ms/epoch - 6ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2278 - val_categorical_accuracy: 0.9584 - 843ms/epoch - 6ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2335 - val_categorical_accuracy: 0.9588 - 1s/epoch - 7ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2200 - val_categorical_accuracy: 0.9593 - 999ms/epoch - 7ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2316 - val_categorical_accuracy: 0.9590 - 930ms/epoch - 7ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.3663 - val_categorical_accuracy: 0.9329 - 866ms/epoch - 6ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2156 - val_categorical_accuracy: 0.9615 - 921ms/epoch - 7ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2228 - val_categorical_accuracy: 0.9590 - 998ms/epoch - 7ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9890 - val_loss: 0.2197 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9893 - val_loss: 0.2323 - val_categorical_accuracy: 0.9582 - 976ms/epoch - 7ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9829 - val_loss: 0.2453 - val_categorical_accuracy: 0.9502 - 854ms/epoch - 6ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2164 - val_categorical_accuracy: 0.9608 - 881ms/epoch - 6ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2271 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2258 - val_categorical_accuracy: 0.9594 - 992ms/epoch - 7ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.1433 - categorical_accuracy: 0.9596 - val_loss: 0.1971 - val_categorical_accuracy: 0.9522 - 842ms/epoch - 6ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.1992 - val_categorical_accuracy: 0.9584 - 890ms/epoch - 6ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2200 - val_categorical_accuracy: 0.9550 - 1s/epoch - 7ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2068 - val_categorical_accuracy: 0.9608 - 988ms/epoch - 7ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2091 - val_categorical_accuracy: 0.9606 - 859ms/epoch - 6ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2069 - val_categorical_accuracy: 0.9614 - 845ms/epoch - 6ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.2127 - val_categorical_accuracy: 0.9612 - 1s/epoch - 9ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2142 - val_categorical_accuracy: 0.9613 - 997ms/epoch - 7ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9898 - val_loss: 0.2129 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2103 - val_categorical_accuracy: 0.9617 - 1s/epoch - 7ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2113 - val_categorical_accuracy: 0.9614 - 987ms/epoch - 7ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9891 - val_loss: 0.2108 - val_categorical_accuracy: 0.9602 - 844ms/epoch - 6ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2112 - val_categorical_accuracy: 0.9617 - 855ms/epoch - 6ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9893 - val_loss: 0.2466 - val_categorical_accuracy: 0.9551 - 1s/epoch - 7ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9893 - val_loss: 0.2227 - val_categorical_accuracy: 0.9600 - 992ms/epoch - 7ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2174 - val_categorical_accuracy: 0.9613 - 998ms/epoch - 7ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2247 - val_categorical_accuracy: 0.9593 - 939ms/epoch - 7ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2240 - val_categorical_accuracy: 0.9595 - 865ms/epoch - 6ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9848 - val_loss: 0.2099 - val_categorical_accuracy: 0.9593 - 910ms/epoch - 6ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2272 - val_categorical_accuracy: 0.9576 - 998ms/epoch - 7ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9893 - val_loss: 0.2109 - val_categorical_accuracy: 0.9614 - 854ms/epoch - 6ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9892 - val_loss: 0.2174 - val_categorical_accuracy: 0.9611 - 866ms/epoch - 6ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9895 - val_loss: 0.2169 - val_categorical_accuracy: 0.9621 - 1s/epoch - 7ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2143 - val_categorical_accuracy: 0.9623 - 1s/epoch - 7ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2142 - val_categorical_accuracy: 0.9623 - 1s/epoch - 7ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2164 - val_categorical_accuracy: 0.9626 - 853ms/epoch - 6ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.2276 - val_categorical_accuracy: 0.9554 - 861ms/epoch - 6ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9892 - val_loss: 0.2174 - val_categorical_accuracy: 0.9621 - 1s/epoch - 7ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2177 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2169 - val_categorical_accuracy: 0.9622 - 1s/epoch - 7ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2623 - val_categorical_accuracy: 0.9525 - 1s/epoch - 7ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2236 - val_categorical_accuracy: 0.9591 - 1s/epoch - 7ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2196 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2258 - val_categorical_accuracy: 0.9599 - 1s/epoch - 7ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9893 - val_loss: 0.2245 - val_categorical_accuracy: 0.9587 - 990ms/epoch - 7ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2211 - val_categorical_accuracy: 0.9599 - 982ms/epoch - 7ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2290 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2455 - val_categorical_accuracy: 0.9549 - 1s/epoch - 7ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9888 - val_loss: 0.2264 - val_categorical_accuracy: 0.9597 - 987ms/epoch - 7ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2133 - val_categorical_accuracy: 0.9626 - 982ms/epoch - 7ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2226 - val_categorical_accuracy: 0.9607 - 876ms/epoch - 6ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2666 - val_categorical_accuracy: 0.9505 - 874ms/epoch - 6ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2209 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2256 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9730 - val_loss: 0.2207 - val_categorical_accuracy: 0.9561 - 997ms/epoch - 7ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2199 - val_categorical_accuracy: 0.9589 - 995ms/epoch - 7ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2080 - val_categorical_accuracy: 0.9629 - 986ms/epoch - 7ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2123 - val_categorical_accuracy: 0.9614 - 843ms/epoch - 6ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9896 - val_loss: 0.2365 - val_categorical_accuracy: 0.9567 - 868ms/epoch - 6ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9887 - val_loss: 0.2152 - val_categorical_accuracy: 0.9597 - 1s/epoch - 7ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2497 - val_categorical_accuracy: 0.9539 - 994ms/epoch - 7ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2206 - val_categorical_accuracy: 0.9613 - 864ms/epoch - 6ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2226 - val_categorical_accuracy: 0.9591 - 880ms/epoch - 6ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2215 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2213 - val_categorical_accuracy: 0.9606 - 968ms/epoch - 7ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0779 - categorical_accuracy: 0.9778 - val_loss: 0.2089 - val_categorical_accuracy: 0.9588 - 849ms/epoch - 6ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2192 - val_categorical_accuracy: 0.9581 - 916ms/epoch - 6ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2463 - val_categorical_accuracy: 0.9543 - 1s/epoch - 7ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9806 - val_loss: 0.1982 - val_categorical_accuracy: 0.9619 - 989ms/epoch - 7ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2024 - val_categorical_accuracy: 0.9628 - 872ms/epoch - 6ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.2090 - val_categorical_accuracy: 0.9610 - 845ms/epoch - 6ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2082 - val_categorical_accuracy: 0.9626 - 1s/epoch - 7ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2133 - val_categorical_accuracy: 0.9621 - 1s/epoch - 7ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.2181 - val_categorical_accuracy: 0.9595 - 996ms/epoch - 7ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2121 - val_categorical_accuracy: 0.9606 - 969ms/epoch - 7ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2210 - val_categorical_accuracy: 0.9589 - 847ms/epoch - 6ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2201 - val_categorical_accuracy: 0.9612 - 895ms/epoch - 6ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2184 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9802 - val_loss: 0.2159 - val_categorical_accuracy: 0.9556 - 947ms/epoch - 7ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2082 - val_categorical_accuracy: 0.9600 - 874ms/epoch - 6ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2668 - val_categorical_accuracy: 0.9472 - 874ms/epoch - 6ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2172 - val_categorical_accuracy: 0.9599 - 1s/epoch - 8ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2167 - val_categorical_accuracy: 0.9616 - 988ms/epoch - 7ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2530 - val_categorical_accuracy: 0.9528 - 865ms/epoch - 6ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.2216 - val_categorical_accuracy: 0.9604 - 873ms/epoch - 6ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2221 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2273 - val_categorical_accuracy: 0.9605 - 1s/epoch - 7ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2247 - val_categorical_accuracy: 0.9601 - 971ms/epoch - 7ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2250 - val_categorical_accuracy: 0.9605 - 861ms/epoch - 6ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2208 - val_categorical_accuracy: 0.9619 - 876ms/epoch - 6ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9894 - val_loss: 0.2209 - val_categorical_accuracy: 0.9600 - 1s/epoch - 7ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.3046 - val_categorical_accuracy: 0.9417 - 989ms/epoch - 7ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2262 - val_categorical_accuracy: 0.9603 - 1s/epoch - 7ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2230 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2330 - val_categorical_accuracy: 0.9591 - 1s/epoch - 7ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9889 - val_loss: 0.2211 - val_categorical_accuracy: 0.9604 - 998ms/epoch - 7ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2348 - val_categorical_accuracy: 0.9586 - 964ms/epoch - 7ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.4363 - val_categorical_accuracy: 0.9208 - 824ms/epoch - 6ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9726 - val_loss: 0.2020 - val_categorical_accuracy: 0.9604 - 865ms/epoch - 6ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2078 - val_categorical_accuracy: 0.9612 - 1s/epoch - 8ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2084 - val_categorical_accuracy: 0.9623 - 1s/epoch - 7ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2198 - val_categorical_accuracy: 0.9620 - 962ms/epoch - 7ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9901 - val_loss: 0.2162 - val_categorical_accuracy: 0.9615 - 856ms/epoch - 6ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2233 - val_categorical_accuracy: 0.9591 - 874ms/epoch - 6ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2136 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2157 - val_categorical_accuracy: 0.9612 - 970ms/epoch - 7ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2195 - val_categorical_accuracy: 0.9591 - 997ms/epoch - 7ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.3865 - val_categorical_accuracy: 0.9265 - 852ms/epoch - 6ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.1606 - categorical_accuracy: 0.9555 - val_loss: 0.2054 - val_categorical_accuracy: 0.9567 - 863ms/epoch - 6ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.1975 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2085 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9901 - val_loss: 0.2006 - val_categorical_accuracy: 0.9621 - 950ms/epoch - 7ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2054 - val_categorical_accuracy: 0.9622 - 839ms/epoch - 6ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2080 - val_categorical_accuracy: 0.9620 - 893ms/epoch - 6ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2150 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2093 - val_categorical_accuracy: 0.9616 - 1000ms/epoch - 7ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2276 - val_categorical_accuracy: 0.9552 - 987ms/epoch - 7ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2149 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2183 - val_categorical_accuracy: 0.9608 - 984ms/epoch - 7ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9817 - val_loss: 0.2228 - val_categorical_accuracy: 0.9470 - 982ms/epoch - 7ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2097 - val_categorical_accuracy: 0.9589 - 966ms/epoch - 7ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2085 - val_categorical_accuracy: 0.9608 - 842ms/epoch - 6ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2133 - val_categorical_accuracy: 0.9588 - 850ms/epoch - 6ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9900 - val_loss: 0.2062 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2128 - val_categorical_accuracy: 0.9609 - 971ms/epoch - 7ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9902 - val_loss: 0.2151 - val_categorical_accuracy: 0.9594 - 833ms/epoch - 6ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2190 - val_categorical_accuracy: 0.9599 - 856ms/epoch - 6ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2161 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2178 - val_categorical_accuracy: 0.9603 - 993ms/epoch - 7ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2234 - val_categorical_accuracy: 0.9609 - 997ms/epoch - 7ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2478 - val_categorical_accuracy: 0.9563 - 876ms/epoch - 6ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2161 - val_categorical_accuracy: 0.9617 - 889ms/epoch - 6ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2721 - val_categorical_accuracy: 0.9503 - 1s/epoch - 7ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2399 - val_categorical_accuracy: 0.9575 - 1s/epoch - 7ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2229 - val_categorical_accuracy: 0.9599 - 1s/epoch - 7ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9814 - val_loss: 0.2182 - val_categorical_accuracy: 0.9568 - 1s/epoch - 7ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2117 - val_categorical_accuracy: 0.9607 - 996ms/epoch - 7ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9901 - val_loss: 0.2096 - val_categorical_accuracy: 0.9617 - 845ms/epoch - 6ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9898 - val_loss: 0.2226 - val_categorical_accuracy: 0.9601 - 847ms/epoch - 6ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2112 - val_categorical_accuracy: 0.9619 - 1s/epoch - 8ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2263 - val_categorical_accuracy: 0.9595 - 988ms/epoch - 7ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2159 - val_categorical_accuracy: 0.9614 - 988ms/epoch - 7ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2159 - val_categorical_accuracy: 0.9618 - 952ms/epoch - 7ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9899 - val_loss: 0.2250 - val_categorical_accuracy: 0.9616 - 842ms/epoch - 6ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2193 - val_categorical_accuracy: 0.9620 - 886ms/epoch - 6ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2315 - val_categorical_accuracy: 0.9576 - 1s/epoch - 7ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2237 - val_categorical_accuracy: 0.9615 - 941ms/epoch - 7ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2185 - val_categorical_accuracy: 0.9605 - 838ms/epoch - 6ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9895 - val_loss: 0.2217 - val_categorical_accuracy: 0.9598 - 887ms/epoch - 6ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2242 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2329 - val_categorical_accuracy: 0.9577 - 1s/epoch - 7ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2258 - val_categorical_accuracy: 0.9609 - 984ms/epoch - 7ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2641 - val_categorical_accuracy: 0.9487 - 1s/epoch - 7ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2392 - val_categorical_accuracy: 0.9574 - 849ms/epoch - 6ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2255 - val_categorical_accuracy: 0.9607 - 842ms/epoch - 6ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9901 - val_loss: 0.2312 - val_categorical_accuracy: 0.9608 - 1s/epoch - 8ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9832 - val_loss: 0.2130 - val_categorical_accuracy: 0.9606 - 1s/epoch - 7ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9897 - val_loss: 0.2257 - val_categorical_accuracy: 0.9604 - 990ms/epoch - 7ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9895 - val_loss: 0.2121 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9895 - val_loss: 0.2201 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9894 - val_loss: 0.2211 - val_categorical_accuracy: 0.9620 - 966ms/epoch - 7ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2259 - val_categorical_accuracy: 0.9611 - 845ms/epoch - 6ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9894 - val_loss: 0.2290 - val_categorical_accuracy: 0.9580 - 873ms/epoch - 6ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9896 - val_loss: 0.2239 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9894 - val_loss: 0.2203 - val_categorical_accuracy: 0.9624 - 987ms/epoch - 7ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9853 - val_loss: 0.2306 - val_categorical_accuracy: 0.9566 - 979ms/epoch - 7ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2346 - val_categorical_accuracy: 0.9559 - 935ms/epoch - 7ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2181 - val_categorical_accuracy: 0.9625 - 836ms/epoch - 6ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9896 - val_loss: 0.2192 - val_categorical_accuracy: 0.9619 - 897ms/epoch - 6ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9901 - val_loss: 0.2485 - val_categorical_accuracy: 0.9572 - 1s/epoch - 7ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2293 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9900 - val_loss: 0.2256 - val_categorical_accuracy: 0.9624 - 977ms/epoch - 7ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9891 - val_loss: 0.2484 - val_categorical_accuracy: 0.9538 - 840ms/epoch - 6ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2426 - val_categorical_accuracy: 0.9578 - 856ms/epoch - 6ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9895 - val_loss: 0.2332 - val_categorical_accuracy: 0.9615 - 981ms/epoch - 7ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9900 - val_loss: 0.2258 - val_categorical_accuracy: 0.9613 - 894ms/epoch - 6ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9894 - val_loss: 0.2800 - val_categorical_accuracy: 0.9463 - 844ms/epoch - 6ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2241 - val_categorical_accuracy: 0.9614 - 1s/epoch - 7ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.2301 - val_categorical_accuracy: 0.9598 - 1s/epoch - 7ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2234 - val_categorical_accuracy: 0.9623 - 950ms/epoch - 7ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2512 - val_categorical_accuracy: 0.9565 - 842ms/epoch - 6ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9891 - val_loss: 0.2263 - val_categorical_accuracy: 0.9606 - 839ms/epoch - 6ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2440 - val_categorical_accuracy: 0.9564 - 1s/epoch - 7ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2293 - val_categorical_accuracy: 0.9610 - 950ms/epoch - 7ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9900 - val_loss: 0.2371 - val_categorical_accuracy: 0.9581 - 930ms/epoch - 7ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9899 - val_loss: 0.2428 - val_categorical_accuracy: 0.9588 - 857ms/epoch - 6ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9890 - val_loss: 0.2276 - val_categorical_accuracy: 0.9610 - 873ms/epoch - 6ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2283 - val_categorical_accuracy: 0.9619 - 1s/epoch - 7ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9896 - val_loss: 0.2281 - val_categorical_accuracy: 0.9629 - 1s/epoch - 7ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9901 - val_loss: 0.2352 - val_categorical_accuracy: 0.9599 - 951ms/epoch - 7ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9818 - val_loss: 0.2211 - val_categorical_accuracy: 0.9592 - 843ms/epoch - 6ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2274 - val_categorical_accuracy: 0.9580 - 878ms/epoch - 6ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2266 - val_categorical_accuracy: 0.9597 - 1s/epoch - 7ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2209 - val_categorical_accuracy: 0.9618 - 1s/epoch - 7ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2224 - val_categorical_accuracy: 0.9614 - 1s/epoch - 7ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2236 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.2323 - val_categorical_accuracy: 0.9594 - 1s/epoch - 7ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9897 - val_loss: 0.2180 - val_categorical_accuracy: 0.9616 - 987ms/epoch - 7ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2307 - val_categorical_accuracy: 0.9589 - 1s/epoch - 7ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2278 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9898 - val_loss: 0.2593 - val_categorical_accuracy: 0.9583 - 1s/epoch - 7ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9897 - val_loss: 0.2257 - val_categorical_accuracy: 0.9607 - 995ms/epoch - 7ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2353 - val_categorical_accuracy: 0.9609 - 862ms/epoch - 6ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9897 - val_loss: 0.2332 - val_categorical_accuracy: 0.9614 - 843ms/epoch - 6ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9901 - val_loss: 0.2435 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2345 - val_categorical_accuracy: 0.9605 - 1s/epoch - 7ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9896 - val_loss: 0.3008 - val_categorical_accuracy: 0.9426 - 987ms/epoch - 7ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0885 - categorical_accuracy: 0.9752 - val_loss: 0.2116 - val_categorical_accuracy: 0.9593 - 1s/epoch - 7ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2080 - val_categorical_accuracy: 0.9622 - 923ms/epoch - 7ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2085 - val_categorical_accuracy: 0.9614 - 844ms/epoch - 6ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2099 - val_categorical_accuracy: 0.9621 - 876ms/epoch - 6ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2125 - val_categorical_accuracy: 0.9624 - 1s/epoch - 7ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9905 - val_loss: 0.2153 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9900 - val_loss: 0.2277 - val_categorical_accuracy: 0.9604 - 851ms/epoch - 6ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9898 - val_loss: 0.2157 - val_categorical_accuracy: 0.9627 - 870ms/epoch - 6ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2283 - val_categorical_accuracy: 0.9597 - 1s/epoch - 7ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0793 - categorical_accuracy: 0.9784 - val_loss: 0.2447 - val_categorical_accuracy: 0.9418 - 1000ms/epoch - 7ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2066 - val_categorical_accuracy: 0.9613 - 949ms/epoch - 7ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9902 - val_loss: 0.2056 - val_categorical_accuracy: 0.9623 - 857ms/epoch - 6ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2325 - val_categorical_accuracy: 0.9564 - 858ms/epoch - 6ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2384 - val_categorical_accuracy: 0.9553 - 1s/epoch - 7ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2210 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9902 - val_loss: 0.2190 - val_categorical_accuracy: 0.9587 - 968ms/epoch - 7ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9904 - val_loss: 0.2298 - val_categorical_accuracy: 0.9558 - 845ms/epoch - 6ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9888 - val_loss: 0.2140 - val_categorical_accuracy: 0.9627 - 853ms/epoch - 6ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2546 - val_categorical_accuracy: 0.9536 - 1s/epoch - 7ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2207 - val_categorical_accuracy: 0.9625 - 948ms/epoch - 7ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2252 - val_categorical_accuracy: 0.9609 - 818ms/epoch - 6ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0248 - categorical_accuracy: 0.9903 - val_loss: 0.2247 - val_categorical_accuracy: 0.9622 - 882ms/epoch - 6ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9895 - val_loss: 0.2201 - val_categorical_accuracy: 0.9614 - 1s/epoch - 7ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9827 - val_loss: 0.2234 - val_categorical_accuracy: 0.9529 - 996ms/epoch - 7ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2119 - val_categorical_accuracy: 0.9597 - 997ms/epoch - 7ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2111 - val_categorical_accuracy: 0.9629 - 848ms/epoch - 6ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0249 - categorical_accuracy: 0.9903 - val_loss: 0.2129 - val_categorical_accuracy: 0.9609 - 866ms/epoch - 6ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9902 - val_loss: 0.2129 - val_categorical_accuracy: 0.9625 - 1s/epoch - 7ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9899 - val_loss: 0.2372 - val_categorical_accuracy: 0.9574 - 980ms/epoch - 7ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2250 - val_categorical_accuracy: 0.9603 - 828ms/epoch - 6ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2250 - val_categorical_accuracy: 0.9617 - 843ms/epoch - 6ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9901 - val_loss: 0.2255 - val_categorical_accuracy: 0.9596 - 1s/epoch - 8ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9897 - val_loss: 0.2255 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9898 - val_loss: 0.2257 - val_categorical_accuracy: 0.9628 - 980ms/epoch - 7ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9898 - val_loss: 0.2286 - val_categorical_accuracy: 0.9602 - 1s/epoch - 7ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9898 - val_loss: 0.2224 - val_categorical_accuracy: 0.9623 - 973ms/epoch - 7ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2338 - val_categorical_accuracy: 0.9596 - 961ms/epoch - 7ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2173 - val_categorical_accuracy: 0.9617 - 1s/epoch - 7ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2290 - val_categorical_accuracy: 0.9617 - 970ms/epoch - 7ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2267 - val_categorical_accuracy: 0.9620 - 838ms/epoch - 6ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2538 - val_categorical_accuracy: 0.9568 - 830ms/epoch - 6ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9892 - val_loss: 0.2290 - val_categorical_accuracy: 0.9609 - 1s/epoch - 7ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2245 - val_categorical_accuracy: 0.9620 - 955ms/epoch - 7ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9897 - val_loss: 0.2291 - val_categorical_accuracy: 0.9617 - 836ms/epoch - 6ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9897 - val_loss: 0.2392 - val_categorical_accuracy: 0.9581 - 911ms/epoch - 6ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9899 - val_loss: 0.2256 - val_categorical_accuracy: 0.9621 - 999ms/epoch - 7ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2515 - val_categorical_accuracy: 0.9519 - 1s/epoch - 7ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2496 - val_categorical_accuracy: 0.9548 - 973ms/epoch - 7ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9895 - val_loss: 0.2447 - val_categorical_accuracy: 0.9562 - 869ms/epoch - 6ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2350 - val_categorical_accuracy: 0.9604 - 862ms/epoch - 6ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9899 - val_loss: 0.2282 - val_categorical_accuracy: 0.9613 - 1s/epoch - 7ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9895 - val_loss: 0.2337 - val_categorical_accuracy: 0.9586 - 1s/epoch - 7ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9899 - val_loss: 0.2390 - val_categorical_accuracy: 0.9600 - 999ms/epoch - 7ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9858 - val_loss: 0.2399 - val_categorical_accuracy: 0.9561 - 967ms/epoch - 7ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9894 - val_loss: 0.2330 - val_categorical_accuracy: 0.9598 - 862ms/epoch - 6ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9892 - val_loss: 0.2217 - val_categorical_accuracy: 0.9607 - 840ms/epoch - 6ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2239 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.2265 - val_categorical_accuracy: 0.9610 - 964ms/epoch - 7ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9900 - val_loss: 0.2970 - val_categorical_accuracy: 0.9476 - 856ms/epoch - 6ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.8068 - val_categorical_accuracy: 0.8712 - 886ms/epoch - 6ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9824 - val_loss: 0.2157 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9901 - val_loss: 0.2143 - val_categorical_accuracy: 0.9623 - 988ms/epoch - 7ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9903 - val_loss: 0.2405 - val_categorical_accuracy: 0.9579 - 1s/epoch - 7ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2326 - val_categorical_accuracy: 0.9592 - 965ms/epoch - 7ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0252 - categorical_accuracy: 0.9903 - val_loss: 0.2509 - val_categorical_accuracy: 0.9554 - 850ms/epoch - 6ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2379 - val_categorical_accuracy: 0.9584 - 851ms/epoch - 6ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9900 - val_loss: 0.2365 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9900 - val_loss: 0.2284 - val_categorical_accuracy: 0.9616 - 1s/epoch - 7ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2295 - val_categorical_accuracy: 0.9609 - 967ms/epoch - 7ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0251 - categorical_accuracy: 0.9903 - val_loss: 0.2320 - val_categorical_accuracy: 0.9620 - 986ms/epoch - 7ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2282 - val_categorical_accuracy: 0.9620 - 838ms/epoch - 6ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9896 - val_loss: 0.2395 - val_categorical_accuracy: 0.9584 - 842ms/epoch - 6ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9902 - val_loss: 0.2461 - val_categorical_accuracy: 0.9595 - 1s/epoch - 7ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9900 - val_loss: 0.2365 - val_categorical_accuracy: 0.9615 - 999ms/epoch - 7ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9879 - val_loss: 0.3134 - val_categorical_accuracy: 0.9390 - 1s/epoch - 7ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2288 - val_categorical_accuracy: 0.9598 - 966ms/epoch - 7ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9899 - val_loss: 0.2279 - val_categorical_accuracy: 0.9595 - 973ms/epoch - 7ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0258 - categorical_accuracy: 0.9899 - val_loss: 0.2297 - val_categorical_accuracy: 0.9607 - 1s/epoch - 7ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9899 - val_loss: 0.2399 - val_categorical_accuracy: 0.9593 - 954ms/epoch - 7ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2262 - val_categorical_accuracy: 0.9618 - 837ms/epoch - 6ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9897 - val_loss: 0.2293 - val_categorical_accuracy: 0.9613 - 854ms/epoch - 6ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9902 - val_loss: 0.2315 - val_categorical_accuracy: 0.9624 - 1s/epoch - 8ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9897 - val_loss: 0.2408 - val_categorical_accuracy: 0.9603 - 956ms/epoch - 7ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0261 - categorical_accuracy: 0.9899 - val_loss: 0.2304 - val_categorical_accuracy: 0.9619 - 951ms/epoch - 7ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9897 - val_loss: 0.2365 - val_categorical_accuracy: 0.9599 - 870ms/epoch - 6ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9896 - val_loss: 0.2467 - val_categorical_accuracy: 0.9579 - 886ms/epoch - 6ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9900 - val_loss: 0.2296 - val_categorical_accuracy: 0.9610 - 1s/epoch - 7ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0247 - categorical_accuracy: 0.9903 - val_loss: 0.2384 - val_categorical_accuracy: 0.9615 - 1s/epoch - 7ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2366 - val_categorical_accuracy: 0.9612 - 1s/epoch - 7ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0264 - categorical_accuracy: 0.9899 - val_loss: 0.2440 - val_categorical_accuracy: 0.9592 - 828ms/epoch - 6ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2475 - val_categorical_accuracy: 0.9585 - 859ms/epoch - 6ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.2280 - val_categorical_accuracy: 0.9617 - 1s/epoch - 7ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2390 - val_categorical_accuracy: 0.9581 - 1s/epoch - 7ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2361 - val_categorical_accuracy: 0.9611 - 1s/epoch - 7ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9899 - val_loss: 0.2322 - val_categorical_accuracy: 0.9622 - 1s/epoch - 7ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2462 - val_categorical_accuracy: 0.9581 - 969ms/epoch - 7ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9901 - val_loss: 0.2303 - val_categorical_accuracy: 0.9618 - 827ms/epoch - 6ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9904 - val_loss: 0.2350 - val_categorical_accuracy: 0.9625 - 874ms/epoch - 6ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0253 - categorical_accuracy: 0.9900 - val_loss: 0.2314 - val_categorical_accuracy: 0.9627 - 1s/epoch - 7ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9902 - val_loss: 0.2424 - val_categorical_accuracy: 0.9612 - 958ms/epoch - 7ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9896 - val_loss: 0.2441 - val_categorical_accuracy: 0.9584 - 862ms/epoch - 6ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0254 - categorical_accuracy: 0.9903 - val_loss: 0.2532 - val_categorical_accuracy: 0.9583 - 886ms/epoch - 6ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9898 - val_loss: 0.2470 - val_categorical_accuracy: 0.9580 - 1s/epoch - 7ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0257 - categorical_accuracy: 0.9901 - val_loss: 0.2485 - val_categorical_accuracy: 0.9584 - 1s/epoch - 7ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0250 - categorical_accuracy: 0.9903 - val_loss: 0.2439 - val_categorical_accuracy: 0.9582 - 981ms/epoch - 7ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0256 - categorical_accuracy: 0.9901 - val_loss: 0.2369 - val_categorical_accuracy: 0.9622 - 841ms/epoch - 6ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2417 - val_categorical_accuracy: 0.9612 - 891ms/epoch - 6ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0259 - categorical_accuracy: 0.9901 - val_loss: 0.2404 - val_categorical_accuracy: 0.9619 - 1s/epoch - 7ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9894 - val_loss: 0.3082 - val_categorical_accuracy: 0.9526 - 1s/epoch - 7ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9818 - val_loss: 0.2339 - val_categorical_accuracy: 0.9608 - 1s/epoch - 7ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9898 - val_loss: 0.2308 - val_categorical_accuracy: 0.9604 - 995ms/epoch - 7ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0260 - categorical_accuracy: 0.9900 - val_loss: 0.2375 - val_categorical_accuracy: 0.9597 - 966ms/epoch - 7ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0255 - categorical_accuracy: 0.9901 - val_loss: 0.2348 - val_categorical_accuracy: 0.9619 - 863ms/epoch - 6ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9841 - val_loss: 0.2229 - val_categorical_accuracy: 0.9605 - 885ms/epoch - 6ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.2256 - val_categorical_accuracy: 0.9620 - 1s/epoch - 7ms/step

#reticulate::py_last_error()

#We can then compute the average of the per-epoch ACC scores for all folds:

average_acc_history <- data.frame(
  epoch = seq(1:ncol(all_acc_histories)),
  validation_acc = apply(all_acc_histories, 2, mean)
)


head(max(average_acc_history$validation_acc))

[1] 0.962394

library(ggplot2)
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_line()

#It may be a bit hard to see the plot due to scaling issues and relatively high variance. Let's use `geom_smooth()` to try to get a clearer picture:
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_smooth()

# Evaluate on Testset
eval <- evaluate(model, test_data, test_targets, verbose = 1)

  1/423 [..............................] - ETA: 7s - loss: 3.9615 - categorical_accuracy: 0.7188
  8/423 [..............................] - ETA: 3s - loss: 3.7365 - categorical_accuracy: 0.7266
 19/423 [>.............................] - ETA: 2s - loss: 3.8086 - categorical_accuracy: 0.6941
 33/423 [=>............................] - ETA: 1s - loss: 4.2778 - categorical_accuracy: 0.6894
 45/423 [==>...........................] - ETA: 1s - loss: 4.2931 - categorical_accuracy: 0.6854
 57/423 [===>..........................] - ETA: 1s - loss: 4.0012 - categorical_accuracy: 0.6880
 71/423 [====>.........................] - ETA: 1s - loss: 3.9788 - categorical_accuracy: 0.6901
 85/423 [=====>........................] - ETA: 1s - loss: 3.9452 - categorical_accuracy: 0.6893
100/423 [======>.......................] - ETA: 1s - loss: 4.0397 - categorical_accuracy: 0.6903
114/423 [=======>......................] - ETA: 1s - loss: 4.1211 - categorical_accuracy: 0.6891
128/423 [========>.....................] - ETA: 1s - loss: 4.1742 - categorical_accuracy: 0.6890
142/423 [=========>....................] - ETA: 1s - loss: 4.1697 - categorical_accuracy: 0.6890
157/423 [==========>...................] - ETA: 1s - loss: 4.0985 - categorical_accuracy: 0.6919
168/423 [==========>...................] - ETA: 1s - loss: 4.0900 - categorical_accuracy: 0.6912
179/423 [===========>..................] - ETA: 0s - loss: 4.0752 - categorical_accuracy: 0.6915
190/423 [============>.................] - ETA: 0s - loss: 4.0572 - categorical_accuracy: 0.6924
197/423 [============>.................] - ETA: 0s - loss: 4.0573 - categorical_accuracy: 0.6916
204/423 [=============>................] - ETA: 0s - loss: 4.0406 - categorical_accuracy: 0.6933
214/423 [==============>...............] - ETA: 0s - loss: 4.0271 - categorical_accuracy: 0.6944
223/423 [==============>...............] - ETA: 0s - loss: 4.0432 - categorical_accuracy: 0.6931
235/423 [===============>..............] - ETA: 0s - loss: 4.0746 - categorical_accuracy: 0.6916
252/423 [================>.............] - ETA: 0s - loss: 4.0608 - categorical_accuracy: 0.6915
270/423 [==================>...........] - ETA: 0s - loss: 4.0576 - categorical_accuracy: 0.6928
288/423 [===================>..........] - ETA: 0s - loss: 4.0522 - categorical_accuracy: 0.6936
306/423 [====================>.........] - ETA: 0s - loss: 4.0837 - categorical_accuracy: 0.6928
323/423 [=====================>........] - ETA: 0s - loss: 4.1093 - categorical_accuracy: 0.6933
340/423 [=======================>......] - ETA: 0s - loss: 4.1208 - categorical_accuracy: 0.6927
356/423 [========================>.....] - ETA: 0s - loss: 4.1192 - categorical_accuracy: 0.6927
371/423 [=========================>....] - ETA: 0s - loss: 4.0958 - categorical_accuracy: 0.6926
388/423 [==========================>...] - ETA: 0s - loss: 4.0743 - categorical_accuracy: 0.6933
404/423 [===========================>..] - ETA: 0s - loss: 4.0815 - categorical_accuracy: 0.6939
422/423 [============================>.] - ETA: 0s - loss: 4.0899 - categorical_accuracy: 0.6935
423/423 [==============================] - 2s 4ms/step - loss: 4.0931 - categorical_accuracy: 0.6933

423/423 [==============================] - 2s 4ms/step - loss: 4.0931 - categorical_accuracy: 0.6933

head(eval)

                loss categorical_accuracy 
           4.0931363            0.6933373 

# Save model and history, please change the name
# write.csv(average_acc_history, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/Try 9.csv", row.names=FALSE)
# save_model_hdf5(model, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/model 9.hfd5", overwrite = TRUE, include_optimizer = TRUE)

# Save Training, Testing and Validation Data
# write.csv(train_data, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/train_data.csv", row.names=FALSE)
# write.csv(test_data, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/test_data.csv", row.names=FALSE)
# write.csv(train_targets, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/train_targets.csv", row.names=FALSE)
# write.csv(test_targets, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/test_targets.csv", row.names=FALSE)


# Load model
# Use model_history as precaution
# model_history <- load_model_hdf5("../Doc/Versuch 6/model 6.hfd5", custom_objects = NULL, compile = TRUE)